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FUN-LDA: A LATENT DIRICHLET ALLOCATION MODEL FOR PREDICTING TISSUE-SPECIFIC FUNCTIONAL EFFECTS OF NONCODING VARIATION

2016-08-11

Abstract excerpt

<h4> A BSTRACT </h4> We describe here a new method based on a latent Dirichlet allocation model for predicting functional effects of noncoding genetic variants in a cell type and tissue specific way (FUN-LDA) by integrating diverse epigenetic annotations for specific cell types and tissues from large scale epige-nomics projects such as ENCODE and Roadmap Epigenomics. Using this unsupervised approach we predict...

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Literature Corpus work
c5d80d2a-4842-5f1d-8450-21facda9d9ec
DOI
10.1101/069229
Open publication

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FUN-LDA: A LATENT DIRICHLET ALLOCATION MODEL FOR PREDICTING TISSUE-SPECIFIC FUNCTIONAL EFFECTS OF NONCODING VARIATIONDOI 10.1101/069229
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