A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks.
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Identification of transcription factor's targets using tissue-specific transcriptomic data in Arabidopsis thalianaAnalysis of time-series gene expression data: methods, challenges, and opportunities.Comparison of the contributions of the nuclear and cytoplasmic compartments to global gene expression in human cellsAn Arabidopsis gene network based on the graphical Gaussian model.Genome-wide analysis of mRNA decay rates and their determinants in Arabidopsis thaliana.
P2860
A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks.
description
2005 nî lūn-bûn
@nan
2005 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
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2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
A microarray data-based semi-k ...... e dynamics of genetic networks
@nl
A microarray data-based semi-k ...... dynamics of genetic networks.
@ast
A microarray data-based semi-k ...... dynamics of genetic networks.
@en
type
label
A microarray data-based semi-k ...... e dynamics of genetic networks
@nl
A microarray data-based semi-k ...... dynamics of genetic networks.
@ast
A microarray data-based semi-k ...... dynamics of genetic networks.
@en
prefLabel
A microarray data-based semi-k ...... e dynamics of genetic networks
@nl
A microarray data-based semi-k ...... dynamics of genetic networks.
@ast
A microarray data-based semi-k ...... dynamics of genetic networks.
@en
P2093
P2860
P356
P1433
P1476
A microarray data-based semi-k ...... dynamics of genetic networks.
@en
P2093
Katsuyuki Yugi
Masaru Tomita
Shigen Kojima
Tomoya Kitayama
Yoichi Nakayama
P2860
P2888
P356
10.1186/1471-2105-6-299
P407
P577
2005-12-13T00:00:00Z
P5875
P6179
1003826408