Author

Nicholas Lytal

ORCID 0000-0003-2134-2715Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Di RaniD· 1 shared Lingling AniD· 1 shared Shanshan ZhangiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Di RanORCID

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1 paper

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedApr 24, 2020

scDoc: Correcting Drop-out Events in Single-cell RNA-seq Data

Di Ran, Shanshan Zhang, Nicholas Lytal, Lingling An

scDoc improves scRNA-seq data by correcting drop-out events through cell-to-cell similarity, outperforming existing methods in visualization, subpopulation identification, and differential expression detection.

27 citations

scRNA-seqstatistical model

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