Article

Approximate inference of gene regulatory network models from RNA-Seq time series data

2017-06-14

Abstract excerpt

Inference of gene regulatory network structures from RNA-Seq data is challenging due to the nature of the data, as measurements take the form of counts of reads mapped to a given gene. Here we present a model for RNA-Seq time series data that applies a negative binomial distribution for the observations, and uses sparse regression with a horseshoe prior to learn a dynamic Bayesian network of interactions between g...

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Literature Corpus work: 269a4a21-90e4-5be4-b694-47979b6f16a2
DOI: 10.1101/149674

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