Unsupervised and supervised learning with neural network for human transcriptome analysis and cancer diagnosis

Deep learning analysis of images and text unfolds new horizons in medicine. However, analysis of transcriptomic data, the cause of biological and pathological changes, is hampered by structural complexity distinctive from images and text. Here we conduct unsupervised training on more than 20,000 hum...

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Detalles Bibliográficos
Autores principales: Yuan, Bo, Yang, Dong, Rothberg, Bonnie E. G., Chang, Hao, Xu, Tian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644700/
https://www.ncbi.nlm.nih.gov/pubmed/33154423
http://dx.doi.org/10.1038/s41598-020-75715-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644700/
https://www.ncbi.nlm.nih.gov/pubmed/33154423
http://dx.doi.org/10.1038/s41598-020-75715-0

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