Differential C3NET reveals disease networks of direct physical interactions.
about
Integrative approaches for finding modular structure in biological networksHarnessing the complexity of gene expression data from cancer: from single gene to structural pathway methodsesyN: network building, sharing and publishingNew network topology approaches reveal differential correlation patterns in breast cancer.Harnessing diversity towards the reconstructing of large scale gene regulatory networks.PyPanda: a Python package for gene regulatory network reconstruction.Inferring Genome-Wide Interaction Networks.Integration of heterogeneous molecular networks to unravel gene-regulation in Mycobacterium tuberculosis.Use of Microarray Datasets to generate Caco-2-dedicated Networks and to identify Reporter Genes of Specific Pathway Activity.A comprehensive comparison of association estimators for gene network inference algorithms.
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P2860
Differential C3NET reveals disease networks of direct physical interactions.
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
Differential C3NET reveals disease networks of direct physical interactions.
@ast
Differential C3NET reveals disease networks of direct physical interactions.
@en
type
label
Differential C3NET reveals disease networks of direct physical interactions.
@ast
Differential C3NET reveals disease networks of direct physical interactions.
@en
prefLabel
Differential C3NET reveals disease networks of direct physical interactions.
@ast
Differential C3NET reveals disease networks of direct physical interactions.
@en
P2860
P356
P1433
P1476
Differential C3NET reveals disease networks of direct physical interactions.
@en
P2093
Gökmen Altay
Mohammad Asim
P2860
P2888
P356
10.1186/1471-2105-12-296
P577
2011-07-21T00:00:00Z
P5875
P6179
1046352481