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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...
Tallennettuna:
| Julkaisussa: | PLoS One |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2019
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| Aiheet: | |
| Linkit: | 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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