Article

Clustering gene expression time series data using an infinite Gaussian process mixture model

2017-04-26

Abstract excerpt

Transcriptome-wide time series expression profiling is used to characterize the cellular response to environmental perturbations. The first step to analyzing transcriptional response data is often to cluster genes with similar responses. Here, we present a nonparametric model-based method, Dirichlet process Gaussian process mixture model (DPGP), which jointly models cluster number with a Dirichlet process and temp...

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Identifiers and source

Literature Corpus work: 316b2737-bde6-58a5-967b-c656a45d13be
DOI: 10.1101/131151

Open publication

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