Semi-supervised learning improves regulatory sequence prediction with unlabeled sequences

MOTIVATION: Genome-wide association studies have systematically identified thousands of single nucleotide polymorphisms (SNPs) associated with complex genetic diseases. However, the majority of those SNPs were found in non-coding genomic regions, preventing the understanding of the underlying causal...

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Detalles Bibliográficos
Autor principal: Mourad, Raphaël
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163727/
https://www.ncbi.nlm.nih.gov/pubmed/37147561
http://dx.doi.org/10.1186/s12859-023-05303-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163727/
https://www.ncbi.nlm.nih.gov/pubmed/37147561
http://dx.doi.org/10.1186/s12859-023-05303-2

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