Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq

Michael B. Cole; Davide Risso; Allon Wagner; David DeTomaso; John Ngai; Elizabeth Purdom; Sandrine Dudoit; Nir Yosef

doi:10.1016/j.cels.2019.03.010

Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq

Michael B. Cole, Davide Risso, Allon Wagner, David DeTomaso, John Ngai, Elizabeth Purdom, Sandrine Dudoit, Nir Yosef

Research output: Contribution to journal › Article › peer-review

Abstract

We have developed an approach for exploratory analysis and normalization of scRNA-seq data that enables execution of a wide array of normalization procedures and provides principled assessment of their performance based on a comprehensive set of data-driven performance metrics.

Original language	English
Pages (from-to)	315-328.e8
Journal	Cell Systems
Volume	8
Issue number	4
DOIs	https://doi.org/10.1016/j.cels.2019.03.010
State	Published - 24 Apr 2019
Externally published	Yes

All Science Journal Classification (ASJC) codes

Pathology and Forensic Medicine
Histology
Cell Biology

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Cite this

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title = "Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq",

abstract = "We have developed an approach for exploratory analysis and normalization of scRNA-seq data that enables execution of a wide array of normalization procedures and provides principled assessment of their performance based on a comprehensive set of data-driven performance metrics.",

author = "Cole, \{Michael B.\} and Davide Risso and Allon Wagner and David DeTomaso and John Ngai and Elizabeth Purdom and Sandrine Dudoit and Nir Yosef",

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T1 - Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq

AU - Cole, Michael B.

AU - Risso, Davide

AU - Wagner, Allon

AU - DeTomaso, David

AU - Ngai, John

AU - Purdom, Elizabeth

AU - Dudoit, Sandrine

AU - Yosef, Nir

PY - 2019/4/24

Y1 - 2019/4/24

N2 - We have developed an approach for exploratory analysis and normalization of scRNA-seq data that enables execution of a wide array of normalization procedures and provides principled assessment of their performance based on a comprehensive set of data-driven performance metrics.

AB - We have developed an approach for exploratory analysis and normalization of scRNA-seq data that enables execution of a wide array of normalization procedures and provides principled assessment of their performance based on a comprehensive set of data-driven performance metrics.

UR - http://www.scopus.com/inward/record.url?scp=85064202758&partnerID=8YFLogxK

U2 - 10.1016/j.cels.2019.03.010

DO - 10.1016/j.cels.2019.03.010

M3 - مقالة

C2 - 31022373

SN - 2405-4712

VL - 8

SP - 315-328.e8

JO - Cell Systems

JF - Cell Systems

IS - 4

ER -

Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq

Abstract

All Science Journal Classification (ASJC) codes

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