V-SVA: an R Shiny application for detecting and annotating hidden sources of variation in single-cell RNA-seq data

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. Bioinformatics, 36(11):3582-3584, 2020. [doi]

Authors

Nathan Lawlor

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Eladio J. Márquez

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Donghyung Lee

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Duygu Ucar

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