Non-linear archetypal analysis of single-cell RNA-seq data by deep autoencoders.
Advances in single-cell RNA sequencing (scRNA-seq) have led to successes in discovering novel cell types and understanding cellular heterogeneity among complex cell populations through cluster analysis. However, cluster analysis is not able to reveal continuous spectrum of states and underlying gene...
保存先:
| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science (PLoS)
2022-04-01
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| シリーズ: | PLoS Computational Biology |
| オンライン･アクセス: | https://doi.org/10.1371/journal.pcbi.1010025 |
| タグ: |
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