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A semi-supervised deep learning approach for predicting the functional effects of genomic non-coding variations

BACKGROUND: Understanding the functional effects of non-coding variants is important as they are often associated with gene-expression alteration and disease development. Over the past few years, many computational tools have been developed to predict their functional impact. However, the intrinsic...

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Bibliografski detalji
Izdano u:BMC Bioinformatics
Glavni autori: Jia, Hao, Park, Sung-Joon, Nakai, Kenta
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2021
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8171027/
https://ncbi.nlm.nih.gov/pubmed/34078253
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-03999-8
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