scholarly article | Q13442814 |
P50 | author | Sharon L R Kardia | Q88218091 |
Thomas Giordano | Q37621567 | ||
P2093 | author name string | Lin Lin | |
David E Misek | |||
Samir Hanash | |||
David G Beer | |||
Guoan Chen | |||
Albert M Levin | |||
Dafydd G Thomas | |||
Chiang-Ching Huang | |||
Mark B Orringer | |||
Satoru Hayasaka | |||
Rork Kuick | |||
Jeremy M G Taylor | |||
Mark D Iannettoni | |||
Michelle L Lizyness | |||
Tarek G Gharib | |||
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P433 | issue | 8 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | adenocarcinoma | Q356033 |
P304 | page(s) | 816-824 | |
P577 | publication date | 2002-07-15 | |
P1433 | published in | Nature Medicine | Q1633234 |
P1476 | title | Gene-expression profiles predict survival of patients with lung adenocarcinoma | |
P478 | volume | 8 |
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Q43441798 | Glypican-3 is overexpressed in lung squamous cell carcinoma, but not in adenocarcinoma |
Q34276961 | Google goes cancer: improving outcome prediction for cancer patients by network-based ranking of marker genes |
Q60046635 | GradientScanSurv-An exhaustive association test method for gene expression data with censored survival outcome |
Q33369696 | Growth inhibition and radiosensitization of glioblastoma and lung cancer cells by small interfering RNA silencing of tumor necrosis factor receptor-associated factor 2. |
Q28388539 | Growth of lung cancer cells in three-dimensional microenvironments reveals key features of tumor malignancy |
Q36619063 | Growth-stimulatory activity of TIMP-2 is mediated through c-Src activation followed by activation of FAK, PI3-kinase/AKT, and ERK1/2 independent of MMP inhibition in lung adenocarcinoma cells |
Q38646090 | HIT'nDRIVE: patient-specific multidriver gene prioritization for precision oncology. |
Q64090258 | HLA-DQB1 expression on tumor cells is a novel favorable prognostic factor for relapse in early-stage lung adenocarcinoma |
Q64070066 | HOXB13 networking with ABCG1/EZH2/Slug mediates metastasis and confers resistance to cisplatin in lung adenocarcinoma patients |
Q42263043 | HSP27 modulates epithelial to mesenchymal transition of lung cancer cells in a Smad-independent manner |
Q81358751 | Hif-2alpha mediates UV-induced apoptosis through a novel ATF3-dependent death pathway |
Q61797777 | High Expression Independently Predicts Poor Prognosis for Lung Adenocarcinoma Patients |
Q37080748 | High Expression of PTGR1 Promotes NSCLC Cell Growth via Positive Regulation of Cyclin-Dependent Protein Kinase Complex |
Q36057106 | High expression of S100P is associated with unfavorable prognosis and tumor progression in patients with epithelial ovarian cancer |
Q31075558 | High-dimensional genomic data bias correction and data integration using MANCIE |
Q33966440 | High-throughput assessment of CpG site methylation for distinguishing between HCV-cirrhosis and HCV-associated hepatocellular carcinoma. |
Q36288148 | High-throughput molecular analysis in lung cancer: insights into biology and potential clinical applications |
Q30479894 | High-throughput proteomic analysis of formalin-fixed paraffin-embedded tissue microarrays using MALDI imaging mass spectrometry |
Q51753083 | Higher expression of chemokine receptor CXCR7 is linked to early and metastatic recurrence in pathological stage I nonsmall cell lung cancer. |
Q28396184 | Highlight report: Validation of prognostic genes in lung cancer |
Q34205291 | Histology image analysis for carcinoma detection and grading |
Q88139964 | How does genome sequencing impact surgery? |
Q37135626 | Human lung project: evaluating variance of gene expression in the human lung |
Q23924046 | Hybrid Models Identified a 12-Gene Signature for Lung Cancer Prognosis and Chemoresponse Prediction |
Q64121066 | I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms |
Q92533720 | IRF1 Negatively Regulates Oncogenic KPNA2 Expression Under Growth Stimulation and Hypoxia in Lung Cancer Cells |
Q35601192 | ISOpureR: an R implementation of a computational purification algorithm of mixed tumour profiles. |
Q36836098 | Identification and validation of a gene expression signature that predicts outcome in adult men with germ cell tumors |
Q38454951 | Identification of certain cancer-mediating genes using Gaussian fuzzy cluster validity index |
Q36630265 | Identification of common tumor signatures based on gene set enrichment analysis. |
Q89495672 | Identification of differentially expressed protein-coding genes in lung adenocarcinomas |
Q24791397 | Identification of expressed genes linked to malignancy of human colorectal carcinoma by parametric clustering of quantitative expression data |
Q39730118 | Identification of hypermethylated genes associated with cisplatin resistance in human cancers |
Q33384993 | Identification of importin 8 (IPO8) as the most accurate reference gene for the clinicopathological analysis of lung specimens |
Q93173548 | Identification of lung adenocarcinoma biomarkers based on bioinformatic analysis and human samples |
Q46195024 | Identification of lung adenocarcinoma specific dysregulated genes with diagnostic and prognostic value across 27 TCGA cancer types |
Q36047432 | Identification of metastasis-suppressive microRNAs in primary melanoma |
Q34372539 | Identification of novel deregulated RNA metabolism-related genes in non-small cell lung cancer. |
Q47143254 | Identification of novel gene expression signature in lung adenocarcinoma by using next-generation sequencing data and bioinformatics analysis |
Q91755842 | Identification of potential diagnostic and therapeutic target genes for lung squamous cell carcinoma |
Q37596249 | Identification of predictive markers of response to the MEK1/2 inhibitor selumetinib (AZD6244) in K-ras-mutated colorectal cancer. |
Q35256884 | Identification of regulatory SNPs associated with genetic modifications in lung adenocarcinoma. |
Q88765096 | Identification of relevant subtypes via preweighted sparse clustering |
Q35076226 | Identification of reproducible gene expression signatures in lung adenocarcinoma. |
Q30697080 | Identification of significant features in DNA microarray data |
Q43775179 | Identification of unique and common low abundance tumour-specific transcripts by suppression subtractive hybridization and oligonucleotide probe array analysis. |
Q37087309 | Identifying genes progressively silenced in preneoplastic and neoplastic liver tissues. |
Q34485698 | Identifying stage-specific protein subnetworks for colorectal cancer |
Q33645624 | Immunotherapy and radiation therapy for operable early stage and locally advanced non-small cell lung cancer |
Q37438558 | Impact and interactions between smoking and traditional prognostic factors in lung cancer progression. |
Q36539946 | Impact of collection and storage of lung tumor tissue on whole genome expression profiling |
Q36856839 | Impact of ischemia and procurement conditions on gene expression in renal cell carcinoma |
Q36357410 | Improving the Prediction of Survival in Cancer Patients by Using Machine Learning Techniques: Experience of Gene Expression Data: A Narrative Review |
Q36386730 | In-depth proteomic analysis of nonsmall cell lung cancer to discover molecular targets and candidate biomarkers. |
Q35325715 | In-depth proteomic analysis of six types of exudative pleural effusions for nonsmall cell lung cancer biomarker discovery. |
Q35870444 | Inactivation of LLC1 gene in nonsmall cell lung cancer |
Q44582765 | Increased C-CRK proto-oncogene expression is associated with an aggressive phenotype in lung adenocarcinomas |
Q39707915 | Increased cell migration and plasticity in Nrf2-deficient cancer cell lines |
Q40551993 | Increased measurement accuracy for sequence-verified microarray probes |
Q36117179 | Independent and functional validation of a multi-tumour-type proliferation signature |
Q33403405 | Independent component analysis of Alzheimer's DNA microarray gene expression data |
Q37579648 | Individualized therapy in non-small-cell lung cancer: future versus current clinical practice |
Q34110415 | Inferring cancer subnetwork markers using density-constrained biclustering |
Q33383213 | Inferring pathway activity toward precise disease classification |
Q34032945 | Informative gene selection and direct classification of tumor based on Chi-square test of pairwise gene interactions |
Q35899607 | Informative gene selection and the direct classification of tumors based on relative simplicity |
Q35811338 | Injury research in the genomic era. |
Q28397049 | Integrated DNA Copy Number and Gene Expression Regulatory Network Analysis of Non-small Cell Lung Cancer Metastasis |
Q41936862 | Integrated expression profiles of mRNA and microRNA in the liver of Fructus Meliae Toosendan water extract injured mice |
Q80402791 | Integrated global profiling of cancer |
Q45943258 | Integrating Clinical and Multiple Omics Data for Prognostic Assessment across Human Cancers. |
Q40629175 | Integrating Tumor and Stromal Gene Expression Signatures With Clinical Indices for Survival Stratification of Early-Stage Non-Small Cell Lung Cancer. |
Q35416193 | Integrating biological knowledge with gene expression profiles for survival prediction of cancer |
Q35561695 | Integrating contextual miRNA and protein signatures for diagnostic and treatment decisions in cancer |
Q64111055 | Integrating genetic mutations and expression profiles for survival prediction of lung adenocarcinoma |
Q28271520 | Integration of gene dosage and gene expression in non-small cell lung cancer, identification of HSP90 as potential target |
Q35751889 | Integration of gene expression profiling and clinical variables to predict prostate carcinoma recurrence after radical prostatectomy |
Q24815430 | Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models |
Q30854282 | Integrative clustering methods for high-dimensional molecular data |
Q37301705 | Integrative transcriptome analysis identifies deregulated microRNA-transcription factor networks in lung adenocarcinoma. |
Q92683700 | Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis |
Q28284358 | Intercohort gene expression co-analysis reveals chemokine receptors as prognostic indicators in Ewing's sarcoma |
Q28303718 | International association for the study of lung cancer/american thoracic society/european respiratory society international multidisciplinary classification of lung adenocarcinoma |
Q35106575 | Intestinal epithelial cells in vitro. |
Q58053534 | Intrinsic cancer subtypes-next steps into personalized medicine |
Q33801632 | Investigating the effect of paralogs on microarray gene-set analysis |
Q36925740 | Investigating the efficacy of nonlinear dimensionality reduction schemes in classifying gene and protein expression studies |
Q37311346 | Ion channels expression and function are strongly modified in solid tumors and vascular malformations |
Q33412905 | Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data |
Q38328486 | Johne's disease in cattle is associated with enhanced expression of genes encoding IL-5, GATA-3, tissue inhibitors of matrix metalloproteinases 1 and 2, and factors promoting apoptosis in peripheral blood mononuclear cells. |
Q24792469 | Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes |
Q37886421 | KAP1 protein: an enigmatic master regulator of the genome |
Q33394385 | KEGG spider: interpretation of genomics data in the context of the global gene metabolic network |
Q54506769 | KLF6 and TP53 mutations are a rare event in prostate cancer: distinguishing between Taq polymerase artifacts and true mutations. |
Q28473103 | KRAB-zinc finger proteins and KAP1 can mediate long-range transcriptional repression through heterochromatin spreading |
Q33366123 | Key issues in conducting a meta-analysis of gene expression microarray datasets |
Q39603767 | Knockdown of Immature Colon Carcinoma Transcript 1 Inhibits Proliferation and Promotes Apoptosis of Non-Small Cell Lung Cancer Cells |
Q42739835 | Large meta-analysis of multiple cancers reveals a common, compact and highly prognostic hypoxia metagene |
Q31120275 | Large-scale integration of cancer microarray data identifies a robust common cancer signature |
Q89481519 | Laser-emission imaging of nuclear biomarkers for high-contrast cancer screening and immunodiagnosis |
Q36319173 | Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure |
Q33743432 | Learning rule sets from survival data. |
Q83181233 | Likelihood estimation of conjugacy relationships in linear models with applications to high-throughput genomics |
Q36890028 | Local sparse bump hunting reveals molecular heterogeneity of colon tumors |
Q33891486 | Loss of aquaporin-4 expression and putative function in non-small cell lung cancer |
Q51485457 | Loss of asparagine synthetase suppresses the growth of human lung cancer cells by arresting cell cycle at G0/G1 phase. |
Q36833446 | Low expression of ITIH5 in adenocarcinoma of the lung is associated with unfavorable patients' outcome |
Q28387769 | Lung Cancer Gene Signatures and Clinical Perspectives |
Q47127472 | Lung Cancer: Understanding Its Molecular Pathology and the 2015 WHO Classification |
Q90639806 | Lung Cancers: Molecular Characterization, Clonal Heterogeneity and Evolution, and Cancer Stem Cells |
Q37283058 | Lung adenocarcinoma global profiling identifies type II transforming growth factor-beta receptor as a repressor of invasiveness. |
Q37285790 | Lung cancer gene expression database analysis incorporating prior knowledge with support vector machine-based classification method |
Q37708137 | Lung cancer progression and metastasis from the prognostic point of view. |
Q39741320 | Lung cancers unrelated to smoking: characterized by single oncogene addiction? |
Q35183870 | Lysyl hydroxylase 2 induces a collagen cross-link switch in tumor stroma |
Q38839830 | MAPK/ERK signaling pathway-induced hyper-O-GlcNAcylation enhances cancer malignancy |
Q35004287 | MMAD: microarray microdissection with analysis of differences is a computational tool for deconvoluting cell type-specific contributions from tissue samples |
Q33574955 | MUC1-associated proliferation signature predicts outcomes in lung adenocarcinoma patients |
Q24798742 | Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery |
Q35678516 | Meta-analysis of oncogenic protein kinase Ciota signaling in lung adenocarcinoma |
Q35719918 | Metagene projection for cross-platform, cross-species characterization of global transcriptional states |
Q35055017 | Metagenes associated with survival in non-small cell lung cancer |
Q39027918 | Metastatic signature in lung cancer is associated with sensitivity to anti-integrin α(V) monoclonal antibody intetumumab |
Q39321613 | MiR-23a regulates TGF-β-induced epithelial-mesenchymal transition by targeting E-cadherin in lung cancer cells |
Q88122827 | MicroRNA 615-3p Inhibits the Tumor Growth and Metastasis of NSCLC via Inhibiting IGF2 |
Q34256044 | MicroRNA in lung cancer |
Q37297730 | MicroRNAs in the pathogenesis of Lung Cancer |
Q24528253 | Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer |
Q35123839 | Microarray analysis in the clinical management of cancer |
Q33320174 | Microarray based diagnosis profits from better documentation of gene expression signatures |
Q45090588 | Microarray reality checks in the context of a complex disease |
Q36698823 | Microarray-based analysis of ventilator-induced lung injury |
Q34776090 | Mining CK2 in cancer |
Q36868498 | Mining gene expression profiles: expression signatures as cancer phenotypes |
Q40536851 | Modeling of lung cancer by an orthotopically growing H460SM variant cell line reveals novel candidate genes for systemic metastasis |
Q93188487 | Modifications of disulfide bonds in breast cancer cell migration and invasiveness |
Q33663130 | Module-based prediction approach for robust inter-study predictions in microarray data |
Q35575040 | Molecular Fingerprinting in Human Lung Cancer |
Q37653893 | Molecular biology of lung cancer: Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. |
Q37068774 | Molecular classification and prognostication of adrenocortical tumors by transcriptome profiling |
Q38107464 | Molecular classification of non-small-cell lung cancer: diagnosis, individualized treatment, and prognosis |
Q37588387 | Molecular gene signature and prognosis of non-small cell lung cancer |
Q35113786 | Molecular markers and staging of early esophageal cancer |
Q33426873 | Molecular phenotypes distinguish patients with relatively stable from progressive idiopathic pulmonary fibrosis (IPF). |
Q35010198 | Molecular portraits and the family tree of cancer |
Q61773574 | Molecular profiles and clinical outcome of stage UICC II colon cancer patients |
Q46071206 | Molecular profiling identifies prognostic markers of stage IA lung adenocarcinoma |
Q57799336 | Molecular signatures in IASLC/ATS/ERS classified growth patterns of lung adenocarcinoma |
Q44582343 | Molecular signatures of lung cancer: defining new diagnostic and therapeutic paradigms |
Q33518944 | Mouse gastric tumor models with prostaglandin E2 pathway activation show similar gene expression profiles to intestinal-type human gastric cancer |
Q30763386 | Multi-task feature selection in microarray data by binary integer programming |
Q38729849 | Multiclass cancer classification based on gene expression comparison |
Q37691784 | Multiplatform-based molecular subtypes of non-small-cell lung cancer |
Q33378995 | Multiple interactions between the alpha 2C- and beta1-adrenergic receptors influence heart failure survival |
Q33912866 | Multiple testing for gene sets from microarray experiments |
Q40048458 | Mycoplasma and cancer: in search of the link |
Q40198629 | NOTCH, ASCL1, p53 and RB alterations define an alternative pathway driving neuroendocrine and small cell lung carcinomas |
Q49257510 | Network analysis of DEGs and verification experiments reveal the notable roles of PTTG1 and MMP9 in lung cancer. |
Q30820140 | Network completion for static gene expression data |
Q35599116 | Network-Based Identification of Smoking-Associated Gene Signature for Lung Cancer |
Q38261249 | Network-based Pathway Enrichment Analysis |
Q28469240 | Network-based analysis of affected biological processes in type 2 diabetes models |
Q36677842 | Network-based approach identified cell cycle genes as predictor of overall survival in lung adenocarcinoma patients |
Q24796756 | Neural network analysis of lymphoma microarray data: prognosis and diagnosis near-perfect |
Q33925945 | Neurotrophin receptor TrkB promotes lung adenocarcinoma metastasis. |
Q30939961 | New challenges in gene expression data analysis and the extended GEPAS |
Q31116667 | New data on robustness of gene expression signatures in leukemia: comparison of three distinct total RNA preparation procedures |
Q24680988 | New molecularly targeted therapies for lung cancer |
Q37279547 | Novel Biomarker Candidates for Colorectal Cancer Metastasis: A Meta-analysis of In Vitro Studies |
Q24339607 | Novel activity of KRAB domain that functions to reinforce nuclear localization of KRAB-containing zinc finger proteins by interacting with KAP1 |
Q41691430 | Novel harmonic regularization approach for variable selection in Cox's proportional hazards model |
Q28385611 | Novel image markers for non-small cell lung cancer classification and survival prediction |
Q28744237 | Nuclear receptor expression defines a set of prognostic biomarkers for lung cancer |
Q28255103 | ONCOMINE: a cancer microarray database and integrated data-mining platform |
Q96303706 | OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer |
Q38813546 | Omics Profiling in Precision Oncology |
Q30805789 | On integrating multi-experiment microarray data |
Q28393146 | Online survival analysis software to assess the prognostic value of biomarkers using transcriptomic data in non-small-cell lung cancer |
Q92450279 | Optimization and expansion of non-negative matrix factorization |
Q34096074 | Optimized application of penalized regression methods to diverse genomic data |
Q44624198 | Osteopontin is up-regulated and associated with neutrophil and macrophage infiltration in glioblastoma |
Q54541339 | Overexpression of T-LAK cell-originated protein kinase predicts poor prognosis in patients with stage I lung adenocarcinoma. |
Q39344747 | Overlapping Group Logistic Regression with Applications to Genetic Pathway Selection. |
Q57288705 | Overlapping clustering of gene expression data using penalized weighted normalized cut |
Q33767514 | PKM2 promotes cell migration and inhibits autophagy by mediating PI3K/AKT activation and contributes to the malignant development of gastric cancer |
Q35176162 | PKM2 promotes metastasis by recruiting myeloid-derived suppressor cells and indicates poor prognosis for hepatocellular carcinoma |
Q50086993 | Paracrine signaling by VEGF-C promotes non-small cell lung cancer cell metastasis via recruitment of tumor-associated macrophages. |
Q36233709 | Pathogenesis of lung cancer: 100 year report |
Q44269868 | Pathway Enrichment Analysis with Networks |
Q42161246 | Pathway-based identification of a smoking associated 6-gene signature predictive of lung cancer risk and survival |
Q36974742 | Patient derived mutation W257G of PPP2R1A enhances cancer cell migration through SRC-JNK-c-Jun pathway |
Q33520625 | Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data |
Q37778667 | Personalized Medicine: Marking a New Epoch in Cancer Patient Management |
Q39019006 | Personalized dynamic prediction of death according to tumour progression and high-dimensional genetic factors: Meta-analysis with a joint model |
Q30366103 | Personalized identification of altered pathways in cancer using accumulated normal tissue data. |
Q80559048 | Phenotype of bone metastases of non-small cell lung cancer: epidermal growth factor receptor expression and K-RAS mutational status |
Q33933774 | Phosphorylated FADD induces NF-kappaB, perturbs cell cycle, and is associated with poor outcome in lung adenocarcinomas |
Q33983713 | Photoinitiator nucleotide for quantifying nucleic Acid hybridization. |
Q31171461 | Phylogenetic modeling of heterogeneous gene-expression microarray data from cancerous specimens |
Q37677039 | Polymorphisms of HIF1A gene are associated with prognosis of early stage non-small-cell lung cancer patients after surgery |
Q35757521 | Poor prognosis in carcinoma is associated with a gene expression signature of aberrant PTEN tumor suppressor pathway activity. |
Q33584831 | Population effect model identifies gene expression predictors of survival outcomes in lung adenocarcinoma for both Caucasian and Asian patients |
Q28741720 | Post-genomic clinical trials: the perspective of ACGT |
Q73354973 | Potts Ferromagnets on Coexpressed Gene Networks: Identifying Maximally Stable Partitions |
Q37209222 | Predicting drug susceptibility of non-small cell lung cancers based on genetic lesions |
Q37188409 | Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features |
Q47322162 | Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression |
Q33237070 | Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays |
Q33247966 | Predicting survival within the lung cancer histopathological hierarchy using a multi-scale genomic model of development |
Q62785637 | Prediction of cancer outcome with microarrays: a multiple random validation strategy |
Q34162893 | Prediction of clinical outcome using gene expression profiling and artificial neural networks for patients with neuroblastoma |
Q36976971 | Prediction of lung cancer histological types by RT-qPCR gene expression in FFPE specimens |
Q42970522 | Prediction of lymph node metastasis by analysis of gene expression profiles in primary lung adenocarcinomas. |
Q30500051 | Prediction of postoperative recurrence-free survival in non-small cell lung cancer by using an internationally validated gene expression model |
Q45116933 | Prediction of sensitivity of advanced non-small cell lung cancers to gefitinib (Iressa, ZD1839). |
Q33650639 | Predictive value of progression-related gene classifier in primary non-muscle invasive bladder cancer |
Q98177999 | Pristimerin Exacerbates Cellular Injury in Conditionally Reprogrammed Patient-Derived Lung Adenocarcinoma Cells by Aggravating Mitochondrial Impairment and Endoplasmic Reticulum Stress through EphB4/CDC42/N-WASP Signaling |
Q33239651 | Profiling alternatively spliced mRNA isoforms for prostate cancer classification |
Q35089389 | Profiling cancer |
Q24796587 | Profiling of pathway-specific changes in gene expression following growth of human cancer cell lines transplanted into mice |
Q33434943 | PrognoScan: a new database for meta-analysis of the prognostic value of genes |
Q64092944 | Prognostic and Predictive Value of Three DNA Methylation Signatures in Lung Adenocarcinoma |
Q43026297 | Prognostic and predictive biomarkers post curative intent therapy |
Q30497419 | Prognostic and predictive gene signature for adjuvant chemotherapy in resected non-small-cell lung cancer |
Q47243110 | Prognostic classification of relapsing favorable histology Wilms tumor using cDNA microarray expression profiling and support vector machines |
Q35548353 | Prognostic factors and risk-based therapy in pediatric acute myeloid leukemia |
Q33697964 | Prognostic factors in resected lung carcinomas |
Q42176304 | Prognostic gene expression signatures can be measured in tissues collected in RNAlater preservative |
Q30485836 | Prognostic gene signatures for non-small-cell lung cancer |
Q30499935 | Prognostic gene-expression signature of carcinoma-associated fibroblasts in non-small cell lung cancer |
Q57159515 | Prognostic modeling of the immune-centric transcriptome reveals interleukin signaling candidates contributing to differential patient outcomes |
Q92696902 | Prognostic significance and biological function of Lamina-associated polypeptide 2 in non-small-cell lung cancer |
Q90216681 | Prognostic significance of minichromosome maintenance mRNA expression in human lung adenocarcinoma |
Q51779277 | Prognostic value of quantitative p63 immunostaining in adenoid cystic carcinoma of salivary gland assessed by computerized image analysis. |
Q51174218 | Progression of human bronchioloalveolar carcinoma to invasive adenocarcinoma is modeled in a transgenic mouse model of K-ras-induced lung cancer by loss of the TGF-β type II receptor. |
Q33430210 | Prostate cancer-associated gene expression alterations determined from needle biopsies |
Q34318367 | Protein Disulfide Isomerase Superfamily in Disease and the Regulation of Apoptosis |
Q37089504 | Protein profiles associated with survival in lung adenocarcinoma |
Q33785608 | Protein signature for non-small cell lung cancer prognosis |
Q37709355 | Proteomic identification of the oncoprotein STAT3 as a target of a novel Skp1 inhibitor |
Q31154301 | Proteomic patterns of tumour subsets in non-small-cell lung cancer |
Q35057057 | Proteomics in translational cancer research: toward an integrated approach |
Q30477329 | Quantitative PCR on 5 genes reliably identifies CTCL patients with 5% to 99% circulating tumor cells with 90% accuracy |
Q55246896 | RAN/RANBP2 polymorphisms and neuroblastoma risk in Chinese children: a three-center case-control study. |
Q35683647 | RAS Mutations and Oncogenesis: Not all RAS Mutations are Created Equally |
Q39982575 | Ratio adjustment and calibration scheme for gene-wise normalization to enhance microarray inter-study prediction |
Q38915283 | Reaching the limits of prognostication in non-small cell lung cancer: an optimized biomarker panel fails to outperform clinical parameters. |
Q36184659 | Recursive feature selection with significant variables of support vectors |
Q24309409 | Regulation of MBD1-mediated transcriptional repression by SUMO and PIAS proteins |
Q34296059 | Relation between smoking history and gene expression profiles in lung adenocarcinomas |
Q35166782 | Renal cell carcinoma and the use of sorafenib |
Q34982782 | Renal gene and protein expression signatures for prediction of kidney disease progression |
Q28131820 | Repeated observation of breast tumor subtypes in independent gene expression data sets |
Q33960941 | Reporting FDR analogous confidence intervals for the log fold change of differentially expressed genes. |
Q24803008 | Reproducibility of oligonucleotide arrays using small samples |
Q24648999 | Resolution of sister centromeres requires RanBP2-mediated SUMOylation of topoisomerase IIalpha |
Q34308389 | Revisiting global gene expression analysis |
Q30444490 | RhoGDI2: a new metastasis suppressor gene: discovery and clinical translation |
Q99629429 | Robust Variable and Interaction Selection for Logistic Regression and General Index Models |
Q41885616 | Robust prognostic gene expression signatures in bladder cancer and lung adenocarcinoma depend on cell cycle related genes |
Q42130407 | Robust prognostic value of a knowledge-based proliferation signature across large patient microarray studies spanning different cancer types |
Q52566507 | Robust sparse accelerated failure time model for survival analysis. |
Q36414207 | Role and regulation of coordinately expressed de novo purine biosynthetic enzymes PPAT and PAICS in lung cancer |
Q33685170 | S100P antibody-mediated therapy as a new promising strategy for the treatment of pancreatic cancer |
Q38686041 | S100P is associated with proliferation and migration in nasopharyngeal carcinoma |
Q37053083 | S100P/RAGE signaling regulates microRNA-155 expression via AP-1 activation in colon cancer |
Q98386389 | SMAD-6, -7 and -9 are potential molecular biomarkers for the prognosis in human lung cancer |
Q47739121 | SMYD5 Controls Heterochromatin and Chromosome Integrity during Embryonic Stem Cell Differentiation |
Q35175659 | SPARCoC: a new framework for molecular pattern discovery and cancer gene identification |
Q30597109 | Sample size considerations of prediction-validation methods in high-dimensional data for survival outcomes |
Q37162810 | Sample size requirements for training high-dimensional risk predictors |
Q35594477 | Schizophrenia detection and classification by advanced analysis of EEG recordings using a single electrode approach. |
Q33254835 | Selecting normalization genes for small diagnostic microarrays |
Q31114297 | Selection of DDX5 as a novel internal control for Q-RT-PCR from microarray data using a block bootstrap re-sampling scheme |
Q35098956 | Selective model averaging with bayesian rule learning for predictive biomedicine |
Q35543589 | Semi-supervised adaptive-height snipping of the hierarchical clustering tree |
Q24804682 | Semi-supervised methods to predict patient survival from gene expression data |
Q34180853 | Semi-supervised recursively partitioned mixture models for identifying cancer subtypes |
Q99208455 | Set-based genetic association and interaction tests for survival outcomes based on weighted V statistics |
Q35529736 | Signal Peptidase Complex Subunit 1 and Hydroxyacyl-CoA Dehydrogenase Beta Subunit Are Suitable Reference Genes in Human Lungs |
Q35742690 | Signaling pathway-based identification of extensive prognostic gene signatures for lung adenocarcinoma |
Q51557016 | Signaling protein signature predicts clinical outcome of non-small-cell lung cancer. |
Q41735339 | Simple decision rules for classifying human cancers from gene expression profiles |
Q35863199 | Single-cell mRNA sequencing identifies subclonal heterogeneity in anti-cancer drug responses of lung adenocarcinoma cells |
Q37328450 | Six1 expands the mouse mammary epithelial stem/progenitor cell pool and induces mammary tumors that undergo epithelial-mesenchymal transition |
Q33489546 | SlimPLS: a method for feature selection in gene expression-based disease classification |
Q54090667 | Small ubiquitin-like modifier 1 modification of pyruvate kinase M2 promotes aerobic glycolysis and cell proliferation in A549 human lung cancer cells. |
Q37287242 | Smoking-related genomic signatures in non-small cell lung cancer |
Q33976991 | Sox9 mediates Notch1-induced mesenchymal features in lung adenocarcinoma |
Q34928807 | Stability and heterogeneity of expression profiles in lung cancer specimens harvested following surgical resection |
Q30584008 | Statistical aspects of omics data analysis using the random compound covariate |
Q37284250 | Statistical challenges in preprocessing in microarray experiments in cancer |
Q27023018 | Statistical considerations for analysis of microarray experiments |
Q33392732 | Statistical issues and analyses of in vivo and in vitro genomic data in order to identify clinically relevant profiles |
Q37432339 | Statistical methods for gene set co-expression analysis |
Q36117881 | Strategic plans to promote head and neck cancer translational research within the radiation therapy oncology group: a report from the translational research program |
Q36007347 | Stratification of acute myeloid leukemia based on gene expression profiles |
Q37185376 | Stromal responses among common carcinomas correlated with clinicopathologic features |
Q27644837 | Structural basis for the transforming activity of human cancer-related signaling adaptor protein CRK |
Q35080295 | Study of suboptimum treatment response: lessons from breast cancer |
Q61796263 | Subverted regulation of Nox1 NADPH oxidase-dependent oxidant generation by protein disulfide isomerase A1 in colon carcinoma cells with overactivated KRas |
Q55609891 | Supervised wavelet method to predict patient survival from gene expression data. |
Q37572162 | Survival analysis with high-dimensional covariates |
Q28484571 | Survival prediction based on compound covariate under Cox proportional hazard models |
Q42585784 | Survival prediction of stage I lung adenocarcinomas by expression of 10 genes |
Q24802942 | Systematic analysis of T7 RNA polymerase based in vitro linear RNA amplification for use in microarray experiments |
Q40248307 | Systems biology approaches to decoding the genome of liver cancer |
Q37388535 | Systems biology modeling of the radiation sensitivity network: a biomarker discovery platform. |
Q36765065 | T cell factor-4 functions as a co-activator to promote NF-κB-dependent MMP-15 expression in lung carcinoma cells |
Q42366611 | TBX2 subfamily suppression in lung cancer pathogenesis: a high-potential marker for early detection. |
Q42128404 | TESTING SIGNIFICANCE OF FEATURES BY LASSOED PRINCIPAL COMPONENTS. |
Q38748274 | TFAP2C promotes lung tumorigenesis and aggressiveness through miR-183- and miR-33a-mediated cell cycle regulation |
Q37463901 | TFAP2C-mediated upregulation of TGFBR1 promotes lung tumorigenesis and epithelial-mesenchymal transition |
Q38827071 | TRIM28 as an independent prognostic marker plays critical roles in glioma progression |
Q41908005 | TSG: a new algorithm for binary and multi-class cancer classification and informative genes selection |
Q33699499 | Targeted reduction of KLF6-SV1 restores chemotherapy sensitivity in resistant lung adenocarcinoma. |
Q36068326 | Targeting the FOXO1/KLF6 axis regulates EGFR signaling and treatment response. |
Q41825773 | Targeting the tumor-promoting microenvironment in MET-amplified NSCLC cells with a novel inhibitor of pro-HGF activation. |
Q34563757 | Technology Insight: tuning into the genetic orchestra using microarrays--limitations of DNA microarrays in clinical practice |
Q47102597 | Temporal Prediction of Future State Occupation in a Multistate Model from High-Dimensional Baseline Covariates via Pseudo-Value Regression |
Q56513677 | Text mining and network analysis of molecular interaction in non-small cell lung cancer by using natural language processing |
Q34356297 | Tgf-beta signaling pathway in lung adenocarcinoma invasion. |
Q38184819 | The 'omics' of adrenocortical tumours for personalized medicine. |
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