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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| 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 |