Network-based prediction for sources of transcriptional dysregulation using latent pathway identification analysis.
about
Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewTranscriptional data: a new gateway to drug repositioning?Bioinformatics analysis of key genes and latent pathway interactions based on the anaplastic thyroid carcinoma gene expression profileMPINet: metabolite pathway identification via coupling of global metabolite network structure and metabolomic profile.Functional characterization of breast cancer using pathway profilesA novel dysregulated pathway-identification analysis based on global influence of within-pathway effects and crosstalk between pathways.Filling out the structural map of the NTF2-like superfamily.Subpathway-GM: identification of metabolic subpathways via joint power of interesting genes and metabolites and their topologies within pathways.Subpathway-CorSP: Identification of metabolic subpathways via integrating expression correlations and topological features between metabolites and genes of interest within pathwaysDissecting dysfunctional crosstalk pathways regulated by miRNAs during glioma progression.Latent Pathways Identification by Microarray Expression Profiles in Thyroid-Associated Ophthalmopathy Patients.A comprehensive analysis of candidate genes and pathways in pancreatic cancer.Potential biomarkers and latent pathways for vasculitis based on latent pathway identification analysis.Perturbation Detection Through Modeling of Gene Expression on a Latent Biological Pathway Network: A Bayesian hierarchical approach.Interaction of key pathways in sorafenib-treated hepatocellular carcinoma based on a PCR-array.Prioritization of rheumatoid arthritis risk subpathways based on global immune subpathway interaction network and random walk strategy.A comprehensive analysis of Wnt/β-catenin signaling pathway-related genes and crosstalk pathways in the treatment of As2O3 in renal cancer.PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia.
P2860
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P2860
Network-based prediction for sources of transcriptional dysregulation using latent pathway identification analysis.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Network-based prediction for s ...... thway identification analysis.
@ast
Network-based prediction for s ...... thway identification analysis.
@en
type
label
Network-based prediction for s ...... thway identification analysis.
@ast
Network-based prediction for s ...... thway identification analysis.
@en
prefLabel
Network-based prediction for s ...... thway identification analysis.
@ast
Network-based prediction for s ...... thway identification analysis.
@en
P2093
P2860
P356
P1476
Network-based prediction for s ...... thway identification analysis.
@en
P2093
Eric D Kolaczyk
Lisa Christadore
Scott Schaus
P2860
P304
13347-13352
P356
10.1073/PNAS.1100891108
P407
P577
2011-07-25T00:00:00Z