Gene expression network analysis and applications to immunology.
about
Integrative approaches for finding modular structure in biological networksSystems analysis of high-throughput dataDEGAS: de novo discovery of dysregulated pathways in human diseasesPRC2/EED-EZH2 complex is up-regulated in breast cancer lymph node metastasis compared to primary tumor and correlates with tumor proliferation in situIntegrative computational biology for cancer researchIdentification of responsive gene modules by network-based gene clustering and extending: application to inflammation and angiogenesisToP: a trend-of-disease-progression procedure works well for identifying cancer genes from multi-state cohort gene expression data for human colorectal cancer.Network-based analysis of omics data: the LEAN methodClassification and biomarker identification using gene network modules and support vector machinesUsing gene expression data and network topology to detect substantial pathways, clusters and switches during oxygen deprivation of Escherichia coliTesting gene set enrichment for subset of genes: Sub-GSE.A general modular framework for gene set enrichment analysis.Identification of differentially expressed subnetworks based on multivariate ANOVA.Detecting disease associated modules and prioritizing active genes based on high throughput data.An integrative -omics approach to identify functional sub-networks in human colorectal cancer.Dynamic protein interaction modules in human hepatocellular carcinoma progressionA review of statistical methods for preprocessing oligonucleotide microarrays.Analyzing the regulation of metabolic pathways in human breast cancer.On the performance of de novo pathway enrichment.ExprEssence--revealing the essence of differential experimental data in the context of an interaction/regulation net-workIdentifying co-targets to fight drug resistance based on a random walk model.Comparison of genetic association strategies in the presence of rare allelesHigh accordance in prognosis prediction of colorectal cancer across independent datasets by multi-gene module expression profiles.Cancer core modules identification through genomic and transcriptomic changes correlation detection at network level.Drug target inference through pathway analysis of genomics data.Active subnetwork recovery with a mechanism-dependent scoring function; with application to angiogenesis and organogenesis studiesAn inferential framework for biological network hypothesis testsDetection of deregulated modules using deregulatory linked pathAlgorithmic and analytical methods in network biology.Differentially expressed transcripts and dysregulated signaling pathways and networks in African American breast cancer.Differential network analysis applied to preoperative breast cancer chemotherapy response.Subnetwork state functions define dysregulated subnetworks in cancer.ModuleBlast: identifying activated sub-networks within and across speciesCOSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.WMAXC: a weighted maximum clique method for identifying condition-specific sub-network.Differential analysis of biological networks.An integer linear programming approach for finding deregulated subgraphs in regulatory networks.MinePath: Mining for Phenotype Differential Sub-paths in Molecular Pathways.Detection of statistically significant network changes in complex biological networksPredicting in silico which mixtures of the natural products of plants might most effectively kill human leukemia cells?
P2860
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P2860
Gene expression network analysis and applications to immunology.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
Gene expression network analysis and applications to immunology.
@en
Gene expression network analysis and applications to immunology.
@nl
type
label
Gene expression network analysis and applications to immunology.
@en
Gene expression network analysis and applications to immunology.
@nl
prefLabel
Gene expression network analysis and applications to immunology.
@en
Gene expression network analysis and applications to immunology.
@nl
P2860
P356
P1433
P1476
Gene expression network analysis and applications to immunology
@en
P2093
Rebecca Critchley-Thorne
Serban Nacu
P2860
P304
P356
10.1093/BIOINFORMATICS/BTM019
P407
P577
2007-01-31T00:00:00Z