Significance analysis of time-series transcriptomic data: a methodology that enables the identification and further exploration of the differentially expressed genes at each time-point.
第一作者:
Bhaskar,Dutta
第一单位:
Metabolic Engineering and Systems Biology Laboratory, Department of Chemical and Biomolecular Engineering, University of Maryland, College Park, Maryland, USA.
作者:
医学主题词
算法(Algorithms);拟南芥属(Arabidopsis);计算机模拟(Computer Simulation);基因表达谱(Gene Expression Profiling);基因表达调控, 植物(Gene Expression Regulation, Plant);模型, 生物学(Models, Biological);蛋白质组(Proteome);信号传导(Signal Transduction);时间因素(Time Factors);转录因子(Transcription Factors);转录, 遗传(Transcription, Genetic)
DOI
10.1002/bit.21432
PMID
17385748
发布时间
2007-09-03
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