Analyzing time series gene expression data

Motivation: Time series expression experiments are an increasingly popular method for studying a wide range of biological systems. However, when analyzing these experiments researchers face many new computational challenges. Algorithms that are specifically designed for time series experiments are r...

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Veröffentlicht in:	Bioinformatics 2004-11, Vol.20 (16), p.2493-2503
1. Verfasser:	Bar-Joseph, Ziv
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation, Physiological - physiology Algorithms Animals Gene Expression Profiling - methods Gene Expression Regulation - physiology Humans Models, Genetic Models, Statistical Oligonucleotide Array Sequence Analysis - methods Signal Transduction - physiology Time Factors
Online-Zugang:	Volltext
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