Functional data analysis for identifying nonlinear models of gene regulatory networks
about
An algebra-based method for inferring gene regulatory networks.Challenges of the next decade for the Asia Pacific region: 2010 International Conference in Bioinformatics (InCoB 2010)Comprehensive analysis of gene-environmental interactions with temporal gene expression profiles in Pseudomonas aeruginosa.Reconstruction of Gene Regulatory Networks based on Repairing Sparse Low-rank MatricesToward a holistic view of transcriptional regulation
P2860
Functional data analysis for identifying nonlinear models of gene regulatory networks
description
2010 nî lūn-bûn
@nan
2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի դեկտեմբերին 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
Functional data analysis for identifying nonlinear models of gene regulatory networks
@ast
Functional data analysis for identifying nonlinear models of gene regulatory networks
@en
type
label
Functional data analysis for identifying nonlinear models of gene regulatory networks
@ast
Functional data analysis for identifying nonlinear models of gene regulatory networks
@en
prefLabel
Functional data analysis for identifying nonlinear models of gene regulatory networks
@ast
Functional data analysis for identifying nonlinear models of gene regulatory networks
@en
P2860
P1433
P1476
Functional data analysis for identifying nonlinear models of gene regulatory networks
@en
P2093
Georg Summer
P2860
P2888
P356
10.1186/1471-2164-11-S4-S18
P407
P478
11 Suppl 4
P577
2010-12-02T00:00:00Z
P5875
P6179
1040161966