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An interpretable framework for clustering single-cell RNA-Seq datasets
BACKGROUND: With the recent proliferation of single-cell RNA-Seq experiments, several methods have been developed for unsupervised analysis of the resulting datasets. These methods often rely on unintuitive hyperparameters and do not explicitly address the subjectivity associated with clustering. RE...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5845381/ https://ncbi.nlm.nih.gov/pubmed/29523077 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2092-7 |
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