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Accuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis
BACKGROUND: Dimensionality reduction is an indispensable analytic component for many areas of single-cell RNA sequencing (scRNA-seq) data analysis. Proper dimensionality reduction can allow for effective noise removal and facilitate many downstream analyses that include cell clustering and lineage r...
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| 出版年: | Genome Biol |
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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
2019
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6902413/ https://ncbi.nlm.nih.gov/pubmed/31823809 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-019-1898-6 |
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