Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer.
about
Identification of drug-specific pathways based on gene expression data: application to drug induced lung injury.Composition and applications of focus libraries to phenotypic assaysSystems-based analyses of brain regions functionally impacted in Parkinson's disease reveals underlying causal mechanismsNew targeted therapies for breast cancer: A focus on tumor microenvironmental signals and chemoresistant breast cancersImproving compound-protein interaction prediction by building up highly credible negative samples.Integration of phytochemicals and phytotherapy into cancer precision medicine.Computational systems biology approaches for Parkinson's disease.Involvement of breast cancer stem cells in tumor angiogenesis.Knowledge from Small-Molecule Screening and Profiling Data.
P2860
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P2860
Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer.
description
2014 nî lūn-bûn
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name
Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer.
@en
Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer.
@nl
type
label
Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer.
@en
Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer.
@nl
prefLabel
Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer.
@en
Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer.
@nl
P2093
P2860
P356
P1476
Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer.
@en
P2093
Alan Buckler
Allen Cornett
Janna Hutz
Jeremy L Jenkins
Miguel Camargo
Savina Jaeger
Stephen Cleaver
P2860
P304
P356
10.1177/1087057114522690
P577
2014-02-11T00:00:00Z