Article

Hi-C-LSTM: Learning representations of chromatin contacts using a recurrent neural network identifies genomic drivers of 3D genome conformation

2021-10-01

Abstract excerpt

<title>Abstract</title> Despite the availability of chromatin conformation capture experiments, discerning the relationship between the 1D genome and 3D conformation remains a challenge, which limits our understanding of their affect on gene expression and disease. We propose Hi-C-LSTM, a method that produces low-dimensional latent representations that summarize intra-chromosomal Hi-C contacts via a recurrent...

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Literature Corpus work: a57b8cd9-6580-5075-98f3-2c8a267598eb
DOI: 10.21203/rs.3.rs-878825/v1

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