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Tuning parameters of dimensionality reduction methods for single-cell RNA-seq analysis
BACKGROUND: Many computational methods have been developed recently to analyze single-cell RNA-seq (scRNA-seq) data. Several benchmark studies have compared these methods on their ability for dimensionality reduction, clustering, or differential analysis, often relying on default parameters. Yet, gi...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Genome Biol |
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| Κύριοι συγγραφείς: | , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7444048/ https://ncbi.nlm.nih.gov/pubmed/32831127 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-02128-7 |
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