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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8171027/ https://www.ncbi.nlm.nih.gov/pubmed/34078253 http://dx.doi.org/10.1186/s12859-021-03999-8 |