COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.
about
The structure of a gene co-expression network reveals biological functions underlying eQTLsIntegrative approaches for finding modular structure in biological networksResponseNet2.0: Revealing signaling and regulatory pathways connecting your proteins and genes--now with human data.Novel prognostic genes of diffuse large B-cell lymphoma revealed by survival analysis of gene expression data.Network-Based Analysis of eQTL Data to Prioritize Driver Mutations.On the performance of de novo pathway enrichment.Integrative analysis reveals disease-associated genes and biomarkers for prostate cancer progression.The effect of network biology on drug toxicology.Drug target inference through pathway analysis of genomics data.Active subnetwork recovery with a mechanism-dependent scoring function; with application to angiogenesis and organogenesis studiesEDDY: a novel statistical gene set test method to detect differential genetic dependencies.WMAXC: a weighted maximum clique method for identifying condition-specific sub-network.Conserved and differential gene interactions in dynamical biological systems.ChiNet uncovers rewired transcription subnetworks in tolerant yeast for advanced biofuels conversion.EW_dmGWAS: edge-weighted dense module search for genome-wide association studies and gene expression profiles.Gene expression profiling of ovarian carcinomas and prognostic analysis of outcome.A matrix rank based concordance index for evaluating and detecting conditional specific co-expressed gene modules.Predicting disease-related subnetworks for type 1 diabetes using a new network activity score.Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network.Active module identification in intracellular networks using a memetic algorithm with a new binary decoding schemePrior knowledge guided active modules identification: an integrated multi-objective approach.Expression of aurora kinase A correlates with the Wnt-modulator RACGAP1 in gastric cancer.Systematic dissection of dysregulated transcription factor-miRNA feed-forward loops across tumor types.DIFFERENTIAL PATHWAY DEPENDENCY DISCOVERY ASSOCIATED WITH DRUG RESPONSE ACROSS CANCER CELL LINES.MOBAS: identification of disease-associated protein subnetworks using modularity-based scoring.Discriminative pattern mining and its applications in bioinformatics.Differential network analysis for the identification of condition-specific pathway activity and regulation.Screening of biomarkers for prediction of response to and prognosis after chemotherapy for breast cancers.Discovering the hidden sub-network component in a ranked list of genes or proteins derived from genomic experiments.GenRev: exploring functional relevance of genes in molecular networks.Computational systems biology approaches for Parkinson's disease.A Computational Method of Defining Potential Biomarkers based on Differential Sub-Networks.
P2860
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P2860
COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.
description
2011 nî lūn-bûn
@nan
2011 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի մարտին հրատարակված գիտական հոդված
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2011年の論文
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2011年学术文章
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2011年学术文章
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2011年学术文章
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2011年学术文章
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2011年学术文章
@zh-sg
2011年學術文章
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name
COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.
@ast
COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.
@en
type
label
COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.
@ast
COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.
@en
prefLabel
COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.
@ast
COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.
@en
P2093
P2860
P356
P1433
P1476
COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.
@en
P2093
Eric E Schadt
Hongyu Zhao
Lee M Kaplan
P2860
P304
P356
10.1093/BIOINFORMATICS/BTR136
P407
P577
2011-03-16T00:00:00Z