Representation learning applications in biological sequence analysis

Although remarkable advances have been reported in high-throughput sequencing, the ability to aptly analyze a substantial amount of rapidly generated biological (DNA/RNA/protein) sequencing data remains a critical hurdle. To tackle this issue, the application of natural language processing (NLP) to...

Descripción completa

Detalles Bibliográficos
Autores principales: Iuchi, Hitoshi, Matsutani, Taro, Yamada, Keisuke, Iwano, Natsuki, Sumi, Shunsuke, Hosoda, Shion, Zhao, Shitao, Fukunaga, Tsukasa, Hamada, Michiaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190442/
https://www.ncbi.nlm.nih.gov/pubmed/34141139
http://dx.doi.org/10.1016/j.csbj.2021.05.039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190442/
https://www.ncbi.nlm.nih.gov/pubmed/34141139
http://dx.doi.org/10.1016/j.csbj.2021.05.039

Ejemplares similares