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Uncovering Co-regulatory Modules and Gene Regulatory Networks in the Heart through Machine Learning-based Analysis of Large-scale Epigenomic Data

2023-04-28

Abstract excerpt

The availability of large scale epigenomic data from different cell types and conditions has provided valuable information to evaluate and learn features that predict co-binding of transcription factors (TF). However, previous attempts to develop models for predicting motif cooccurrence were not scalable for global analysis of any combination of motifs or cross-species predictions. Further, mapping co-regulatory m...

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Literature Corpus work
0b19ab02-8264-5b46-a478-9b9e9d5e37c7
DOI
10.1101/2023.04.28.538783
Open publication

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Uncovering Co-regulatory Modules and Gene Regulatory Networks in the Heart through Machine Learning-based Analysis of Large-scale Epigenomic DataDOI 10.1101/2023.04.28.538783
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