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Multi-scale deep tensor factorization learns a latent representation of the human epigenome

2018-07-08

Abstract excerpt

The human epigenome has been experimentally characterized by measurements of protein binding, chromatin acessibility, methylation, and histone modification in hundreds of cell types. The result is a huge compendium of data, consisting of thousands of measurements for every basepair in the human genome. These data are difficult to make sense of, not only for humans, but also for computational methods that aim to de...

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Literature Corpus work
b877208a-0ab3-5944-8df0-cf6b4aa64e19
DOI
10.1101/364976
Open publication

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Multi-scale deep tensor factorization learns a latent representation of the human epigenomeDOI 10.1101/364976
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