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A comparative study of supervised machine learning algorithms for the prediction of long-range chromatin interactions

2020-06-10

Abstract excerpt

The role of three-dimensional genome organization as a critical regulator of gene expression has become increasingly clear over the last decade. Most of our understanding of this association comes from the study of long range chromatin interaction maps provided by Chromatin Conformation Capture-based techniques, which have greatly improved in recent years. Since these procedures are experimentally laborious and ex...

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Literature Corpus work
3dcb2302-75be-54d1-a30c-4f67e61728d3
DOI
10.1101/2020.06.09.141473
Open publication

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A comparative study of supervised machine learning algorithms for the prediction of long-range chromatin interactionsDOI 10.1101/2020.06.09.141473
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