Topologically inferring risk-active pathways toward precise cancer classification by directed random walk.
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Weighted-SAMGSR: combining significance analysis of microarray-gene set reduction algorithm with pathway topology-based weights to select relevant genesIntegration of pathway structure information into a reweighted partial Cox regression approach for survival analysis on high-dimensional gene expression data.Topologically inferring pathway activity toward precise cancer classification via integrating genomic and metabolomic data: prostate cancer as a case.Identifying Significant Features in Cancer Methylation Data Using Gene Pathway Segmentation.On the performance of de novo pathway enrichment.MPINet: metabolite pathway identification via coupling of global metabolite network structure and metabolomic profile.Pathway activity inference for multiclass disease classification through a mathematical programming optimisation framework.Directed random walks and constraint programming reveal active pathways in hepatocyte growth factor signaling.Bioinformatics approaches for the functional interpretation of protein lists: from ontology term enrichment to network analysis.Drug-pathway interaction prediction via multiple feature fusion.Logic programming reveals alteration of key transcription factors in multiple myeloma.Topologically inferring pathway activity for precise survival outcome prediction: breast cancer as a case.DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq experiments.Identification of hub miRNA biomarkers for bladder cancer by weighted gene coexpression network analysis.Prediction of drug-pathway interaction pairs with a disease-combined LSA-PU-KNN method.Prioritization of rheumatoid arthritis risk subpathways based on global immune subpathway interaction network and random walk strategy.An enhanced topologically significant directed random walk in cancer classification using gene expression datasets.Constraints on signaling network logic reveal functional subgraphs on Multiple Myeloma OMIC data.Integrative pathway-based survival prediction utilizing the interaction between gene expression and DNA methylation in breast cancerIntegration of gene interaction information into a reweighted random survival forest approach for accurate survival prediction and survival biomarker discovery
P2860
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P2860
Topologically inferring risk-active pathways toward precise cancer classification by directed random walk.
description
2013 nî lūn-bûn
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2013年の論文
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2013年学术文章
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2013年学术文章
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2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
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2013年学术文章
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2013年學術文章
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2013年學術文章
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name
Topologically inferring risk-a ...... ation by directed random walk.
@en
Topologically inferring risk-a ...... ation by directed random walk.
@nl
type
label
Topologically inferring risk-a ...... ation by directed random walk.
@en
Topologically inferring risk-a ...... ation by directed random walk.
@nl
prefLabel
Topologically inferring risk-a ...... ation by directed random walk.
@en
Topologically inferring risk-a ...... ation by directed random walk.
@nl
P2093
P356
P1433
P1476
Topologically inferring risk-a ...... ation by directed random walk.
@en
P2093
Chunlong Zhang
Chunquan Li
Desi Shang
Haixiu Yang
Junwei Han
Qianlan Yao
P304
P356
10.1093/BIOINFORMATICS/BTT373
P407
P577
2013-07-10T00:00:00Z