A sub-pathway-based approach for identifying drug response principal network.
about
Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewLarge-scale elucidation of drug response pathways in humansCharacterizing the network of drugs and their affected metabolic subpathwaysAssessing the impact of mutations found in next generation sequencing data over human signaling pathways.Prediction of Metabolic Pathway Involvement in Prokaryotic UniProtKB Data by Association Rule MiningIntegrating systems biology sources illuminates drug action.PATHOME: an algorithm for accurately detecting differentially expressed subpathways.Understanding disease mechanisms with models of signaling pathway activities.A sub-pathway based method to identify candidate agents for Ankylosing Spondylitis.MinePath: Mining for Phenotype Differential Sub-paths in Molecular Pathways.Using activation status of signaling pathways as mechanism-based biomarkers to predict drug sensitivityTEAK: topology enrichment analysis framework for detecting activated biological subpathways.Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms.Identification of key target genes and pathways in laryngeal carcinoma.Using molecular features of xenobiotics to predict hepatic gene expression responseThe impact of network biology in pharmacology and toxicology.Rule Mining Techniques to Predict Prokaryotic Metabolic Pathways.A sub-pathway based method to identify candidate drugs for glioblastomas.DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq experiments.CHRONOS: a time-varying method for microRNA-mediated subpathway enrichment analysis.High throughput estimation of functional cell activities reveals disease mechanisms and predicts relevant clinical outcomes.Bioinformatics analysis reveals potential candidate drugs for cervical cancer.
P2860
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P2860
A sub-pathway-based approach for identifying drug response principal network.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
A sub-pathway-based approach for identifying drug response principal network.
@en
A sub-pathway-based approach for identifying drug response principal network.
@nl
type
label
A sub-pathway-based approach for identifying drug response principal network.
@en
A sub-pathway-based approach for identifying drug response principal network.
@nl
prefLabel
A sub-pathway-based approach for identifying drug response principal network.
@en
A sub-pathway-based approach for identifying drug response principal network.
@nl
P2093
P2860
P356
P1433
P1476
A sub-pathway-based approach for identifying drug response principal network.
@en
P2093
Bangqing Huang
Fujian Tan
Jiankai Xu
Sheng Chen
Xiaodong Jia
P2860
P304
P356
10.1093/BIOINFORMATICS/BTQ714
P407
P577
2010-12-24T00:00:00Z