Inferring pathway crosstalk networks using gene set co-expression signatures.
about
Reverse enGENEering of Regulatory Networks from Big Data: A Roadmap for BiologistsIntegration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs.Identifying the gene signatures from gene-pathway bipartite network guarantees the robust model performance on predicting the cancer prognosis.Exploring the ligand-protein networks in traditional chinese medicine: current databases, methods, and applicationsDetecting Cancer Pathway Crosstalk with Distance Correlation.Pathway crosstalk analysis of microarray gene expression profile in human hepatocellular carcinoma.Toward Personalized Network Biomarkers in Alzheimer's Disease: Computing Individualized Genomic and Protein Crosstalk Maps.The Pathway Coexpression Network: Revealing pathway relationships.Ensemble Methods with Voting Protocols Exhibit Superior Performance for Predicting Cancer Clinical Endpoints and Providing More Complete Coverage of Disease-Related Genes.
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P2860
Inferring pathway crosstalk networks using gene set co-expression signatures.
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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name
Inferring pathway crosstalk networks using gene set co-expression signatures.
@en
Inferring pathway crosstalk networks using gene set co-expression signatures.
@nl
type
label
Inferring pathway crosstalk networks using gene set co-expression signatures.
@en
Inferring pathway crosstalk networks using gene set co-expression signatures.
@nl
prefLabel
Inferring pathway crosstalk networks using gene set co-expression signatures.
@en
Inferring pathway crosstalk networks using gene set co-expression signatures.
@nl
P2093
P2860
P356
P1433
P1476
Inferring pathway crosstalk networks using gene set co-expression signatures.
@en
P2093
P2860
P304
P356
10.1039/C3MB25506A
P50
P577
2013-04-17T00:00:00Z