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Deep learning–based cell composition analysis from tissue expression profiles
We present Scaden, a deep neural network for cell deconvolution that uses gene expression information to infer the cellular composition of tissues. Scaden is trained on single-cell RNA sequencing (RNA-seq) data to engineer discriminative features that confer robustness to bias and noise, making comp...
Uloženo v:
| Vydáno v: | Sci Adv |
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| Hlavní autoři: | , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
American Association for the Advancement of Science
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7439569/ https://ncbi.nlm.nih.gov/pubmed/32832661 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/sciadv.aba2619 |
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