Article

Transformation and model choice for RNA-seq co-expression analysis

2016-07-24

Abstract excerpt

Although a large number of clustering algorithms have been proposed to identify groups of co-expressed genes from microarray data, the question of if and how such methods may be applied to RNA-seq data remains unaddressed. In this work, we investigate the use of data transformations in conjunction with Gaussian mixture models for RNA-seq co-expression analyses, as well as a penalized model selection criterion to s...

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Literature Corpus work: bcc4d20b-5cc1-5bc6-a2c9-d81f9ba0b987
DOI: 10.1101/065607

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