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Predicting which genes will respond to perturbations of a TF: TF-independent properties of genes are major determinants of their responsiveness

2020-12-15

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> The ability to predict which genes will respond to perturbation of a TF’s activity serves as a benchmark for our systems-level understanding of transcriptional regulatory networks. In previous work, machine learning models have been trained to predict static gene expression levels in a given sample by using data from the same or similar conditions, including data on TF bind...

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Literature Corpus work
724622d4-cf54-5a63-8be3-18db98b637bf
DOI
10.1101/2020.12.15.422864
Open publication

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Predicting which genes will respond to perturbations of a TF: TF-independent properties of genes are major determinants of their responsivenessDOI 10.1101/2020.12.15.422864
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