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Deterministic column subset selection for single-cell RNA-Seq
Analysis of single-cell RNA sequencing (scRNA-Seq) data often involves filtering out uninteresting or poorly measured genes and dimensionality reduction to reduce noise and simplify data visualization. However, techniques such as principal components analysis (PCA) fail to preserve non-negativity an...
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| 出版年: | PLoS One |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6347249/ https://ncbi.nlm.nih.gov/pubmed/30682053 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0210571 |
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