FUN-LDA: A Latent Dirichlet Allocation Model for Predicting Tissue-Specific Functional Effects of Noncoding Variation: Methods and Applications

We describe a method based on a latent Dirichlet allocation model for predicting functional effects of noncoding genetic variants in a cell-type- and/or tissue-specific way (FUN-LDA). Using this unsupervised approach, we predict tissue-specific functional effects for every position in the human geno...

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Gepubliceerd in:Am J Hum Genet
Hoofdauteurs: Backenroth, Daniel, He, Zihuai, Kiryluk, Krzysztof, Boeva, Valentina, Pethukova, Lynn, Khurana, Ekta, Christiano, Angela, Buxbaum, Joseph D., Ionita-Laza, Iuliana
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Elsevier 2018
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5986983/
https://ncbi.nlm.nih.gov/pubmed/29727691
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajhg.2018.03.026
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