Inferring cluster-based networks from differently stimulated multiple time-course gene expression data

@inproceedings{Shiraishi2010InferringCN,
  title={Inferring cluster-based networks from differently stimulated multiple time-course gene expression data},
  author={Yuichi Shiraishi and Shuhei Kimura and Mariko Okada},
  booktitle={Bioinformatics},
  year={2010}
}
MOTIVATION Clustering and gene network inference often help to predict the biological functions of gene subsets. Recently, researchers have accumulated a large amount of time-course transcriptome data collected under different treatment conditions to understand the physiological states of cells in response to extracellular stimuli and to identify drug-responsive genes. Although a variety of statistical methods for clustering and inferring gene networks from expression profiles have been… CONTINUE READING
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