A systems biology approach to transcription factor binding site prediction.
about
Genome-wide histone acetylation data improve prediction of mammalian transcription factor binding sites.Regulatory link mapping between organisms.STIFDB2: an updated version of plant stress-responsive transcription factor database with additional stress signals, stress-responsive transcription factor binding sites and stress-responsive genes in Arabidopsis and riceGenomic analysis of hepatoblastoma identifies distinct molecular and prognostic subgroups.Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context.
P2860
A systems biology approach to transcription factor binding site prediction.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մարտին հրատարակված գիտական հոդված
@hy
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
name
A systems biology approach to transcription factor binding site prediction.
@ast
A systems biology approach to transcription factor binding site prediction.
@en
A systems biology approach to transcription factor binding site prediction.
@nl
type
label
A systems biology approach to transcription factor binding site prediction.
@ast
A systems biology approach to transcription factor binding site prediction.
@en
A systems biology approach to transcription factor binding site prediction.
@nl
prefLabel
A systems biology approach to transcription factor binding site prediction.
@ast
A systems biology approach to transcription factor binding site prediction.
@en
A systems biology approach to transcription factor binding site prediction.
@nl
P2093
P2860
P1433
P1476
A systems biology approach to transcription factor binding site prediction.
@en
P2093
Andrea Califano
Pavel Sumazin
Presha Rajbhandari
Xiang Zhou
P2860
P356
10.1371/JOURNAL.PONE.0009878
P407
P577
2010-03-26T00:00:00Z