Regulatory Snapshots: integrative mining of regulatory modules from expression time series and regulatory networks.
about
Identifying subspace gene clusters from microarray data using low-rank representation.Statistical significance approximation in local trend analysis of high-throughput time-series data using the theory of Markov chains.Quantitative assessment of gene expression network module-validation methodsRegulatorTrail: a web service for the identification of key transcriptional regulators.REGGAE: a novel approach for the identification of key transcriptional regulators
P2860
Regulatory Snapshots: integrative mining of regulatory modules from expression time series and regulatory networks.
description
2012 nî lūn-bûn
@nan
2012 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Regulatory Snapshots: integrat ...... eries and regulatory networks.
@ast
Regulatory Snapshots: integrat ...... eries and regulatory networks.
@en
Regulatory Snapshots: integrat ...... eries and regulatory networks.
@nl
type
label
Regulatory Snapshots: integrat ...... eries and regulatory networks.
@ast
Regulatory Snapshots: integrat ...... eries and regulatory networks.
@en
Regulatory Snapshots: integrat ...... eries and regulatory networks.
@nl
prefLabel
Regulatory Snapshots: integrat ...... eries and regulatory networks.
@ast
Regulatory Snapshots: integrat ...... eries and regulatory networks.
@en
Regulatory Snapshots: integrat ...... eries and regulatory networks.
@nl
P2860
P50
P1433
P1476
Regulatory Snapshots: integrat ...... eries and regulatory networks.
@en
P2093
Ricardo S Aires
P2860
P304
P356
10.1371/JOURNAL.PONE.0035977
P407
P577
2012-05-01T00:00:00Z