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Article

VEHiCLE: a Variationally Encoded Hi-C Loss Enhancement algorithm

2020-12-09

Abstract excerpt

Chromatin conformation plays an important role in a variety of genomic processes. Hi-C is one of the most popular assays for inspecting chromatin conformation. However, the utility of Hi-C contact maps is bottlenecked by resolution. Here we present VEHiCLE, a deep learning algorithm for resolution enhancement of Hi-C contact data. VEHiCLE utilises a variational autoencoder and adversarial training strategy to enha...

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Literature Corpus work
25e62155-799d-5644-a931-3a2949536475
DOI
10.1101/2020.12.07.413559
Open publication

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VEHiCLE: a Variationally Encoded Hi-C Loss Enhancement algorithmDOI 10.1101/2020.12.07.413559
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