Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks

Understanding cell identity is an important task in many biomedical areas. Expression patterns of specific marker genes have been used to characterize some limited cell types, but exclusive markers are not available for many cell types. A second approach is to use machine learning to discriminate ce...

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Detalles Bibliográficos
Autores principales: Abdolhosseini, Farzad, Azarkhalili, Behrooz, Maazallahi, Abbas, Kamal, Aryan, Motahari, Seyed Abolfazl, Sharifi-Zarchi, Ali, Chitsaz, Hamidreza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382891/
https://www.ncbi.nlm.nih.gov/pubmed/30787315
http://dx.doi.org/10.1038/s41598-019-38798-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382891/
https://www.ncbi.nlm.nih.gov/pubmed/30787315
http://dx.doi.org/10.1038/s41598-019-38798-y

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