Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1474-760X

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data ; volume:22 ; number:1 ; day:6 ; month:9 ; year:2021 ; pages:1-20 ; date:12.2021
Genome biology ; 22, Heft 1 (6.9.2021), 1-20, 12.2021

Creator: Lause, Jan
Berens, Philipp
Kobak, Dmitry

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13059-021-02451-7

URN: urn:nbn:de:101:1-2021111818530429035305

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:31 AM CEST

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Lause, Jan
Berens, Philipp
Kobak, Dmitry
SpringerLink (Online service)

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Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data

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Other Objects (12)

GC-Content Normalization for RNA-Seq Data

Detection of influenza-like illness aberrations by directly monitoring Pearson residuals of fitted negative binomial regression models

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MUREN: a robust and multi-reference approach of RNA-seq transcript normalization

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Determination of Asymptotic Normalization Coefficients by Analytic Continuation of the $$R}$$ -Matrix

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William Pearson

Pearson, Karl

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A scaling normalization method for differential expression analysis of RNA-seq data

Tissue-aware RNA-Seq processing and normalization for heterogeneous and sparse data

MUREN: a robust and multi-reference approach of RNA-seq transcript normalization

Residuals and Detachments

Determination of Asymptotic Normalization Coefficients by Analytic Continuation of the $$R}$$ -Matrix

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William Pearson

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