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Genome-wide prediction of cis-regulatory regions using supervised deep learning methods
BACKGROUND: In the human genome, 98% of DNA sequences are non-protein-coding regions that were previously disregarded as junk DNA. In fact, non-coding regions host a variety of cis-regulatory regions which precisely control the expression of genes. Thus, Identifying active cis-regulatory regions in...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5984344/ https://ncbi.nlm.nih.gov/pubmed/29855387 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2187-1 |
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