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"V-SVA: an R Shiny application for detecting and annotating hidden sources ..."

Nathan Lawlor et al. (2020)

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DOI: 10.1093/BIOINFORMATICS/BTAA128

access: open

type: Journal Article

metadata version: 2023-09-30

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  - journals/bioinformatics/LawlorMLU20
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  - https://dblp.org/rec/journals/bioinformatics/LawlorMLU20
Nathan Lawlor, Eladio J. Márquez, Donghyung Lee, Duygu Ucar:
V-SVA: an R Shiny application for detecting and annotating hidden sources of variation in single-cell RNA-seq data. Bioinform. 36(11): 3582-3584 (2020)

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