Article

SACSANN: identifying sequence-based determinants of chromosomal compartments

2020-10-07

Abstract excerpt

Genomic organization is critical for proper gene regulation and based on a hierarchical model, where chromosomes are segmented into megabase-sized, cell-type-specific transcriptionally active (A) and inactive (B) compartments. Here, we describe SACSANN, a machine learning pipeline consisting of stacked artificial neural networks that predicts compartment annotation solely from genomic sequence-based features such...

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Literature Corpus work: 44c32a91-8faa-5997-b877-fb665fe6a63e
DOI: 10.1101/2020.10.06.328039

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