about
Chapter 14: Cancer genome analysisLung Transcriptomics during Protective Ventilatory Support in Sepsis-Induced Acute Lung InjuryTranscriptomic Profiling of Extracellular RNAs Present in Cerebrospinal Fluid Identifies Differentially Expressed Transcripts in Parkinson's Disease.The Growing Importance of CNVs: New Insights for Detection and Clinical InterpretationPathway and network analysis of cancer genomesIntegrative study of Arabidopsis thaliana metabolomic and transcriptomic data with the interactive MarVis-Graph softwareBioinformatic analysis of proteomics data.Functional and genomic context in pathway analysis of GWAS data.Seq2pathway: an R/Bioconductor package for pathway analysis of next-generation sequencing data.Providing data science support for systems pharmacology and its implications to drug discoveryNetwork-Based Analysis of eQTL Data to Prioritize Driver Mutations.Proteomic profiling of HBV infected liver biopsies with different fibrotic stages.Establishment of a Strong Link Between Smoking and Cancer Pathogenesis through DNA Methylation Analysis.The common ground of genomics and systems biology.Cross-species gene expression analysis identifies a novel set of genes implicated in human insulin sensitivityDifferentially co-expressed genes in postmortem prefrontal cortex of individuals with alcohol use disorders: influence on alcohol metabolism-related pathways.Spectral gene set enrichment (SGSE).Simultaneous identification of multiple driver pathways in cancerUsing context-specific effect of miRNAs to identify functional associations between miRNAs and gene signatures.JEPETTO: a Cytoscape plugin for gene set enrichment and topological analysis based on interaction networks.Inferring transcription factor collaborations in gene regulatory networksMeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis.Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast.SANTA: quantifying the functional content of molecular networks.Identification of the differentially expressed genes associated with familial combined hyperlipidemia using bioinformatics analysisA MATLAB tool for pathway enrichment using a topology-based pathway regulation score.Peripheral blood mononuclear cell proteome changes in patients with myelodysplastic syndromeTarget deconvolution of bioactive small molecules: the heart of chemical biology and drug discovery.NET-GE: a novel NETwork-based Gene Enrichment for detecting biological processes associated to Mendelian diseasesIntegrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples.Network pharmacological identification of active compounds and potential actions of Erxian decoction in alleviating menopause-related symptomsIdentification of Interactions in the NMD Complex Using Proximity-Dependent Biotinylation (BioID).PAGER: constructing PAGs and new PAG-PAG relationships for network biology.Gene Co-Expression Network Analysis for Identifying Modules and Functionally Enriched Pathways in Type 1 Diabetes.Exome sequencing of a colorectal cancer family reveals shared mutation pattern and predisposition circuitry along tumor pathwaysNEAT: an efficient network enrichment analysis test.rapidGSEA: Speeding up gene set enrichment analysis on multi-core CPUs and CUDA-enabled GPUs.MinePath: Mining for Phenotype Differential Sub-paths in Molecular Pathways.Efficient randomization of biological networks while preserving functional characterization of individual nodesGene regulatory network underlying the immortalization of epithelial cells.
P2860
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P2860
description
2012 nî lūn-bûn
@nan
2012 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
EnrichNet: network-based gene set enrichment analysis.
@ast
EnrichNet: network-based gene set enrichment analysis.
@en
EnrichNet: network-based gene set enrichment analysis.
@nl
type
label
EnrichNet: network-based gene set enrichment analysis.
@ast
EnrichNet: network-based gene set enrichment analysis.
@en
EnrichNet: network-based gene set enrichment analysis.
@nl
prefLabel
EnrichNet: network-based gene set enrichment analysis.
@ast
EnrichNet: network-based gene set enrichment analysis.
@en
EnrichNet: network-based gene set enrichment analysis.
@nl
P2860
P50
P356
P1433
P1476
EnrichNet: network-based gene set enrichment analysis
@en
P2093
Natalio Krasnogor
Reinhard Schneider
P2860
P304
P356
10.1093/BIOINFORMATICS/BTS389
P407
P577
2012-09-01T00:00:00Z