TTCA: an R package for the identification of differentially expressed genes in time course microarray data

BACKGROUND: The analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over ti...

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Bibliografiska uppgifter
I publikationen:BMC Bioinformatics
Huvudupphovsmän: Albrecht, Marco, Stichel, Damian, Müller, Benedikt, Merkle, Ruth, Sticht, Carsten, Gretz, Norbert, Klingmüller, Ursula, Breuhahn, Kai, Matthäus, Franziska
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2017
Ämnen:
Methodology Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5237546/
https://ncbi.nlm.nih.gov/pubmed/28088176
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1440-8
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