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Unsupervised generative and graph representation learning for modelling cell differentiation
Using machine learning techniques to build representations from biomedical data can help us understand the latent biological mechanism of action and lead to important discoveries. Recent developments in single-cell RNA-sequencing protocols have allowed measuring gene expression for individual cells...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7300092/ https://www.ncbi.nlm.nih.gov/pubmed/32555334 http://dx.doi.org/10.1038/s41598-020-66166-8 |