about
BicNET: Flexible module discovery in large-scale biological networks using biclusteringGene co-expression analysis for functional classification and gene-disease predictions.Integrating Gene Regulatory Networks to identify cancer-specific genes.Identification of novel cancer biomarkers of prognostic value using specific gene regulatory networks (GRN): a novel role of RAD51AP1 for ovarian and lung cancers.Construction of a network describing asparagine metabolism in plants and its application to the identification of genes affecting asparagine metabolism in wheat under drought and nutritional stress.
P2860
description
2014 nî lūn-bûn
@nan
2014 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Discovering study-specific gene regulatory networks.
@ast
Discovering study-specific gene regulatory networks.
@en
type
label
Discovering study-specific gene regulatory networks.
@ast
Discovering study-specific gene regulatory networks.
@en
prefLabel
Discovering study-specific gene regulatory networks.
@ast
Discovering study-specific gene regulatory networks.
@en
P2093
P2860
P1433
P1476
Discovering study-specific gene regulatory networks.
@en
P2093
Allan Tucker
Mansoor Saqi
Tanya Curtis
Valeria Bo
P2860
P304
P356
10.1371/JOURNAL.PONE.0106524
P407
P577
2014-09-05T00:00:00Z