| review article | Q7318358 |
| scholarly article | Q13442814 |
| P2093 | author name string | Alexander Stojadinovic | |
| Itzhak Avital | |||
| Meng Liu | |||
| Yan-Gao Man | |||
| Habtom W Ressom | |||
| Rency S Varghese | |||
| Jinlian Wang | |||
| Xiaowei Yang | |||
| Mahlet G Tadesse | |||
| Yiming Zuo | |||
| P2860 | cites work | Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles | Q21145898 |
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| Pathway analysis tools and toxicogenomics reference databases for risk assessment | Q37043499 | ||
| Integrating the Alzheimer's disease proteome and transcriptome: a comprehensive network model of a complex disease | Q40963834 | ||
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| MetaRoute: fast search for relevant metabolic routes for interactive network navigation and visualization | Q41778262 | ||
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| Integrative genomics: liver regeneration and hepatocellular carcinoma | Q42143967 | ||
| Infection of common marmosets with hepatitis C virus/GB virus-B chimeras | Q42244331 | ||
| Re: Florian Jentzmik, Carsten Stephan, Kurt Miller, et al. Sarcosine in urine after digital rectal examination fails as a marker in prostate cancer detection and identification of aggressive tumours. Eur Urol 2010;58:12-8. | Q42547252 | ||
| BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments. | Q42552965 | ||
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| Bottlenecks and hubs in inferred networks are important for virulence in Salmonella typhimurium | Q43453374 | ||
| Does BCR/ABL1 positive acute myeloid leukaemia exist? | Q43782288 | ||
| A novel profile biomarker diagnosis for mass spectral proteomics | Q44637012 | ||
| Development and public release of a comprehensive hepatitis virus database | Q45400033 | ||
| MicroRNA-mRNA interaction network using TSK-type recurrent neural fuzzy network | Q46297841 | ||
| A comparison of neural network models, fuzzy logic, and multiple linear regression for prediction of hatchability. | Q48283902 | ||
| Structure learning for Bayesian networks as models of biological networks. | Q50773407 | ||
| The future of model organisms in human disease research. | Q51694137 | ||
| Neural networks. | Q51714787 | ||
| Global metabolomic and network analysis of Escherichia coli responses to exogenous biofuels. | Q54304280 | ||
| Significance of DNA polymerase delta catalytic subunit p125 induced by mutant p53 in the invasive potential of human hepatocellular carcinoma. | Q54384799 | ||
| Pathway studio—the analysis and navigation of molecular networks | Q79241603 | ||
| Network-based prediction of human tissue-specific metabolism | Q81798711 | ||
| dbHCCvar: a comprehensive database of human genetic variations in hepatocellular carcinoma | Q84970343 | ||
| Circulating transcriptome reveals markers of atherosclerosis | Q33927378 | ||
| Bootstrapping cluster analysis: assessing the reliability of conclusions from microarray experiments | Q33929252 | ||
| Predicting the clinical status of human breast cancer by using gene expression profiles | Q33944626 | ||
| A systems biology-based classifier for hepatocellular carcinoma diagnosis | Q33987671 | ||
| Proteomic identification of CIB1 as a potential diagnostic factor in hepatocellular carcinoma | Q33998540 | ||
| Conceptual biology: unearthing the gems | Q34120924 | ||
| Sarcosine in prostate cancer tissue is not a differential metabolite for prostate cancer aggressiveness and biochemical progression. | Q34155557 | ||
| Computational identification of post-translational modification sites and functional families reveal possible moonlighting role of rotaviral proteins | Q34184000 | ||
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| Network analysis of epidermal growth factor signaling using integrated genomic, proteomic and phosphorylation data | Q34222630 | ||
| Topological analysis of protein co-abundance networks identifies novel host targets important for HCV infection and pathogenesis | Q34251928 | ||
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| Non Linear Programming (NLP) formulation for quantitative modeling of protein signal transduction pathways | Q34505131 | ||
| Genetic studies of complex human diseases: characterizing SNP-disease associations using Bayesian networks | Q34529779 | ||
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| Novel advancements in the management of hepatocellular carcinoma in 2008. | Q34588842 | ||
| Evaluation and integration of existing methods for computational prediction of allergens | Q34628374 | ||
| Molecular and serum markers in hepatocellular carcinoma: predictive tools for prognosis and recurrence | Q34630306 | ||
| Cloud-based solution to identify statistically significant MS peaks differentiating sample categories | Q34632693 | ||
| Systems analysis of the NCI-60 cancer cell lines by alignment of protein pathway activation modules with "-OMIC" data fields and therapeutic response signatures | Q34699235 | ||
| Integrating Bayesian variable selection with Modular Response Analysis to infer biochemical network topology | Q34800432 | ||
| Dynamic modularity in protein interaction networks predicts breast cancer outcome | Q34934057 | ||
| OncoDB.HCC: an integrated oncogenomic database of hepatocellular carcinoma revealed aberrant cancer target genes and loci | Q35179204 | ||
| Bayesian design of synthetic biological systems | Q35216924 | ||
| Bayesian network analysis of signaling networks: a primer | Q36108368 | ||
| Global physiological understanding and metabolic engineering of microorganisms based on omics studies | Q36205907 | ||
| Transcriptomic profiling reveals hepatic stem-like gene signatures and interplay of miR-200c and epithelial-mesenchymal transition in intrahepatic cholangiocarcinoma | Q36279142 | ||
| Bayesian inference of signaling network topology in a cancer cell line | Q36332995 | ||
| Pathways of matrix metalloproteinase induction in heart failure: bioactive molecules and transcriptional regulation | Q36373665 | ||
| BioProspecting: novel marker discovery obtained by mining the bibleome | Q28842724 | ||
| Human Protein Reference Database--2009 update | Q29547392 | ||
| STRING v9.1: protein-protein interaction networks, with increased coverage and integration | Q29614691 | ||
| Assessing gene significance from cDNA microarray expression data via mixed models | Q29616338 | ||
| Network-based classification of breast cancer metastasis | Q29616384 | ||
| Using Bayesian networks to analyze expression data | Q29617295 | ||
| A travel guide to Cytoscape plugins | Q29788355 | ||
| Local-pooled-error test for identifying differentially expressed genes with a small number of replicated microarrays | Q30311902 | ||
| Measurements of protein sequence-structure correlations. | Q30343829 | ||
| Integration of expression data in genome-scale metabolic network reconstructions | Q30425389 | ||
| Developing optimal prediction models for cancer classification using gene expression data | Q30434107 | ||
| EpCAM-positive hepatocellular carcinoma cells are tumor-initiating cells with stem/progenitor cell features | Q30493364 | ||
| 3DScapeCS: application of three dimensional, parallel, dynamic network visualization in Cytoscape | Q30557509 | ||
| Machine learning and social network analysis applied to Alzheimer's disease biomarkers | Q30610765 | ||
| From brain topography to brain topology: relevance of graph theory to functional neuroscience | Q30623669 | ||
| Gene assessment and sample classification for gene expression data using a genetic algorithm/k-nearest neighbor method. | Q30679676 | ||
| Genes-environment interactions in obesity- and diabetes-associated pancreatic cancer: a GWAS data analysis. | Q30679678 | ||
| Association of genes to genetically inherited diseases using data mining | Q30692445 | ||
| Partial least squares proportional hazard regression for application to DNA microarray survival data | Q30756699 | ||
| LS-CAP: an algorithm for identifying cytogenetic aberrations in hepatocellular carcinoma using microarray data | Q31027105 | ||
| Data merging for integrated microarray and proteomic analysis | Q31044158 | ||
| A tumor progression model for hepatocellular carcinoma: bioinformatic analysis of genomic data. | Q31065517 | ||
| A network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses | Q31126174 | ||
| A framework for elucidating regulatory networks based on prior information and expression data | Q31132647 | ||
| CoPub: a literature-based keyword enrichment tool for microarray data analysis | Q31153846 | ||
| Detection of the inferred interaction network in hepatocellular carcinoma from EHCO (Encyclopedia of Hepatocellular Carcinoma genes Online). | Q33275840 | ||
| Co-regulation of metabolic genes is better explained by flux coupling than by network distance | Q33316819 | ||
| "Omics" data and levels of evidence for biomarker discovery | Q33362789 | ||
| An empirical Bayesian method for estimating biological networks from temporal microarray data | Q33536117 | ||
| Integrating text mining into the MGI biocuration workflow | Q33554526 | ||
| Plasma protein biomarkers of the geriatric syndrome of frailty | Q33684564 | ||
| Application of proteomic marker ensembles to subcellular organelle identification | Q33697801 | ||
| The structural and content aspects of abstracts versus bodies of full text journal articles are different | Q33709943 | ||
| The Protein Information and Property Explorer 2: gaggle-like exploration of biological proteomic data within one webpage | Q33779352 | ||
| Integrative identification of Arabidopsis mitochondrial proteome and its function exploitation through protein interaction network | Q33812938 | ||
| Systems analysis of EGF receptor signaling dynamics with microwestern arrays | Q33896605 | ||
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 54-65 | |
| P577 | publication date | 2015-01-01 | |
| P1433 | published in | Journal of Cancer | Q6294901 |
| P1476 | title | Pathway and network approaches for identification of cancer signature markers from omics data | |
| P478 | volume | 6 |
| Q31125724 | A New Strategy for Analyzing Time-Series Data Using Dynamic Networks: Identifying Prospective Biomarkers of Hepatocellular Carcinoma |
| Q92135733 | An Effective Graph Clustering Method to Identify Cancer Driver Modules |
| Q28068983 | Biological Networks for Cancer Candidate Biomarkers Discovery |
| Q90706330 | Characterization and Validation of an "Acute Aerobic Exercise Load" as a Tool to Assess Antioxidative and Anti-inflammatory Nutrition in Healthy Subjects Using a Statistically Integrated Approach in a Comprehensive Clinical Trial |
| Q36473639 | Functional divergence and convergence between the transcript network and gene network in lung adenocarcinoma |
| Q57286593 | Genome-wide expression profiling of glioblastoma using a large combined cohort |
| Q36195093 | Genomic and Transcriptomic Alterations Associated with STAT3 Activation in Head and Neck Cancer |
| Q26781985 | Genomic, Proteomic, and Metabolomic Data Integration Strategies |
| Q38447255 | Identifying a biomarker network for corticosteroid resistance in asthma from bronchoalveolar lavage samples. |
| Q106645058 | Incorporating Machine Learning into Established Bioinformatics Frameworks |
| Q90642701 | Integrative Analysis of Breast Cancer Cells Reveals an Epithelial-Mesenchymal Transition Role in Adaptation to Acidic Microenvironment |
| Q58886339 | Machine Learning for In Silico Modeling of Tumor Growth |
| Q37427026 | Metabolomic profiling of breast tumors using ductal fluid. |
| Q26751123 | Network-Based Protein Biomarker Discovery Platforms |
| Q52311221 | Signalling maps in cancer research: construction and data analysis. |
| Q91788016 | The three-legged stool of understanding metabolism: integrating metabolomics with biochemical genetics and computational modeling |
| Q47133538 | Tumor-adjacent tissue co-expression profile analysis reveals pro-oncogenic ribosomal gene signature for prognosis of resectable hepatocellular carcinoma. |
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