| P50 | author | Corey S Post | Q92874784 |
| | Xi Chen | Q92874791 |
| | Subhashini Srinivasan | Q92874794 |
| | Erik Lehnert | Q92874796 |
| | Jinfeng Xiao | Q89531585 |
| | Saurabh Sinha | Q91762107 |
| | Colleen Bushell | Q92518006 |
| | Charles Blatti | Q92874766 |
| | Matthew J Berry | Q92874769 |
| | Lisa Gatzke | Q92874771 |
| | Daniel Lanier | Q92874775 |
| | Pramod Rizal | Q92874777 |
| | Xiaoxia Liao | Q92874779 |
| | Mike Lambert | Q92874782 |
| | Aidan T Epstein | Q92874787 |
| | Victor Jongeneel | Q54672012 |
| P2093 | author name string | Jun S Song | |
| | Richard M Weinshilboum | |
| | Jing Ge | |
| | Liewei Wang | |
| | Krishna R Kalari | |
| | Jiawei Han | |
| | Peter Groves | |
| | Amin Emad | |
| | Umberto Ravaioli | |
| | Milt Epstein | |
| | Nahil Sobh | |
| | Omar Sobh | |
| P2860 | cites work | ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context | Q21284234 |
| | Gene ontology: tool for the unification of biology | Q23781406 |
| | A human B-cell interactome identifies MYB and FOXM1 as master regulators of proliferation in germinal centers | Q24318306 |
| | Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles | Q24536351 |
| | Lung squamous cell carcinoma mRNA expression subtypes are reproducible, clinically important, and correspond to normal cell types | Q24632760 |
| | Toward a Shared Vision for Cancer Genomic Data | Q26966456 |
| | Cancer subtype identification using somatic mutation data. | Q54695490 |
| | The prognostic role of a gene signature from tumorigenic breast-cancer cells. | Q55042952 |
| | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. | Q55518659 |
| | Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application | Q56517003 |
| | An Integrated Approach for Identifying Molecular Subtypes in Human Colon Cancer Using Gene Expression Data | Q56889160 |
| | Expression of syndecan-1 and cathepsins D and K in advanced esophageal squamous cell carcinoma | Q84133407 |
| | Cross-species systems analysis of evolutionary toolkits of neurogenomic response to social challenge | Q89398144 |
| | Predicting growth rate from gene expression | Q90711426 |
| | Refinement of breast cancer molecular classification by miRNA expression profiles | Q92818881 |
| | A critical assessment of Mus musculus gene function prediction using integrated genomic evidence | Q27499387 |
| | Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling | Q27860529 |
| | Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources | Q27860739 |
| | edgeR: a Bioconductor package for differential expression analysis of digital gene expression data | Q27860819 |
| | The FAIR Guiding Principles for scientific data management and stewardship | Q27942822 |
| | Orchestrating high-throughput genomic analysis with Bioconductor | Q28084527 |
| | Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists | Q28131785 |
| | Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal | Q28288215 |
| | The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity | Q29547693 |
| | GenePattern 2.0 | Q29614171 |
| | The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups | Q29614700 |
| | The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function | Q29614950 |
| | STRING v10: protein-protein interaction networks, integrated over the tree of life | Q29615545 |
| | Supervised risk predictor of breast cancer based on intrinsic subtypes | Q29617404 |
| | Social evolution. Genomic signatures of evolutionary transitions from solitary to group living. | Q30316555 |
| | Correlating chemical sensitivity and basal gene expression reveals mechanism of action. | Q30381469 |
| | geWorkbench: an open source platform for integrative genomics | Q30389806 |
| | Network-based penalized regression with application to genomic data | Q30652883 |
| | Inferring tumour purity and stromal and immune cell admixture from expression data | Q30674996 |
| | Discovering gene re-ranking efficiency and conserved gene-gene relationships derived from gene co-expression network analysis on breast cancer data. | Q31047698 |
| | MUFFINN: cancer gene discovery via network analysis of somatic mutation data | Q31110093 |
| | Individual variation in pheromone response correlates with reproductive traits and brain gene expression in worker honey bees | Q33531762 |
| | Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes | Q33726611 |
| | An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods | Q33803298 |
| | Prioritizing candidate disease genes by network-based boosting of genome-wide association data. | Q33887815 |
| | Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin | Q34123261 |
| | Gene Expression Profiles in the Brain Predict Behavior in Individual Honey Bees | Q34269159 |
| | A comparison of methods for differential expression analysis of RNA-seq data | Q34333243 |
| | Network enrichment analysis: extension of gene-set enrichment analysis to gene networks | Q34411128 |
| | In silico prescription of anticancer drugs to cohorts of 28 tumor types reveals targeting opportunities | Q34466574 |
| | Network-based survival analysis reveals subnetwork signatures for predicting outcomes of ovarian cancer treatment | Q34649455 |
| | Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool | Q34668270 |
| | The NCI Genomic Data Commons as an engine for precision medicine | Q34682174 |
| | SANTA: quantifying the functional content of molecular networks | Q35247564 |
| | Vavien: an algorithm for prioritizing candidate disease genes based on topological similarity of proteins in interaction networks | Q35550142 |
| | GeneWeaver: a web-based system for integrative functional genomics. | Q35630969 |
| | NET-GE: a novel NETwork-based Gene Enrichment for detecting biological processes associated to Mendelian diseases | Q35674545 |
| | Biased random walk model for the prioritization of drug resistance associated proteins | Q35679339 |
| | Big Data: Astronomical or Genomical? | Q35685054 |
| | Exploiting ontology graph for predicting sparsely annotated gene function | Q35975074 |
| | Envisioning the future of 'big data' biomedicine | Q36331232 |
| | LEGO: a novel method for gene set over-representation analysis by incorporating network-based gene weights | Q36449056 |
| | Genomic Landscape of Somatic Alterations in Esophageal Squamous Cell Carcinoma and Gastric Cancer | Q36917828 |
| | Characterizing gene sets using discriminative random walks with restart on heterogeneous biological networks | Q37075898 |
| | Comprehensive analyses of tumor immunity: implications for cancer immunotherapy | Q37193493 |
| | Functional characterization of somatic mutations in cancer using network-based inference of protein activity | Q37292348 |
| | Genome-wide identification of post-translational modulators of transcription factor activity in human B cells. | Q37367194 |
| | COSMIC: somatic cancer genetics at high-resolution | Q37556877 |
| | A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression | Q37563126 |
| | Glutamate transporters in the biology of malignant gliomas | Q37722469 |
| | Combining many interaction networks to predict gene function and analyze gene lists | Q38010408 |
| | The role of platelets in the tumor microenvironment: From solid tumors to leukemia | Q38550806 |
| | Knowledge-guided gene prioritization reveals new insights into the mechanisms of chemoresistance. | Q38628538 |
| | Integrative genomic analysis by interoperation of bioinformatics tools in GenomeSpace | Q38633199 |
| | Network-aided Bi-Clustering for discovering cancer subtypes | Q38825722 |
| | Integrated genomic characterization of oesophageal carcinoma | Q39041152 |
| | Esophageal cancer proliferation is mediated by cytochrome P450 2C9 (CYP2C9). | Q39618742 |
| | Network regularised Cox regression and multiplex network models to predict disease comorbidities and survival of cancer | Q40269833 |
| | Network-based stratification of tumor mutations | Q42034112 |
| | The Cancer Genomics Cloud: Collaborative, Reproducible, and Democratized-A New Paradigm in Large-Scale Computational Research | Q42695262 |
| | DawnRank: discovering personalized driver genes in cancer. | Q42849591 |
| | Graph clustering with local search optimization: the resolution bias of the objective function matters most | Q43900533 |
| | RNA-Seq differential expression analysis: An extended review and a software tool | Q47267623 |
| | Cloud computing for genomic data analysis and collaboration | Q49595295 |
| | NETBAGs: a network-based clustering approach with gene signatures for cancer subtyping analysis. | Q50786022 |
| | The Reactome Pathway Knowledgebase. | Q52433690 |
| | Overexpression of FOXM1 as a target for malignant progression of esophageal squamous cell carcinoma. | Q52649650 |
| | Nrf2 and Keap1 abnormalities in esophageal squamous cell carcinoma and association with the effect of chemoradiotherapy. | Q53693403 |
| | Estrogen receptor alpha (ESR1) gene amplification is frequent in breast cancer. | Q53742241 |
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P4510 | describes a project that uses | limma | Q112236343 |
| | DESeq2 | Q113018293 |
| | edgeR | Q113334690 |
| P433 | issue | 1 | |
| P304 | page(s) | e3000583 | |
| P577 | publication date | 2020-01-23 | |
| P1433 | published in | PLOS Biology | Q1771695 |
| P1476 | title | Knowledge-guided analysis of "omics" data using the KnowEnG cloud platform | |
| P478 | volume | 18 | |