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SAILER: scalable and accurate invariant representation learning for single-cell ATAC-seq processing and integration
MOTIVATION: Single-cell sequencing assay for transposase-accessible chromatin (scATAC-seq) provides new opportunities to dissect epigenomic heterogeneity and elucidate transcriptional regulatory mechanisms. However, computational modeling of scATAC-seq data is challenging due to its high dimension,...
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| 出版年: | Bioinformatics |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8275346/ https://ncbi.nlm.nih.gov/pubmed/34252968 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btab303 |
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