Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq-Reference-Cited by-同舟云学术

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

Published:2019-04 Issue:4 Volume:8 Page:315-328.e8
ISSN:2405-4712
Container-title:Cell Systems
language:en
Short-container-title:Cell Systems

Author:

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

Funder

National Institutes of Health

Chan Zuckerberg Initiative

Silicon Valley Community Foundation

Italian Ministry of Education, University, and Research

National Institute of Dental and Craniofacial Research

Publisher

Elsevier BV

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Reference57 articles.

1. Targeted reconstruction of T cell receptor sequence from single cell RNA-seq links CDR3 length to T cell differentiation state;Afik;Nucleic Acids Res.,2017

2. Differential expression analysis for sequence count data;Anders;Genome Biol.,2010

3. SCnorm: robust normalization of single-cell RNA-seq data;Bacher;Nat. Methods,2017

4. Design and computational analysis of single-cell RNA-sequencing experiments;Bacher;Genome Biol.,2016

5. Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells;Buettner;Nat. Biotechnol.,2015

Cited by 118 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Systematic evaluation with practical guidelines for single-cell and spatially resolved transcriptomics data simulation under multiple scenarios;Genome Biology;2024-06-03

2. Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets;BMC Genomics;2024-05-06

3. The effect of data transformation on low-dimensional integration of single-cell RNA-seq;BMC Bioinformatics;2024-04-30

4. Deep Learning in Single-cell Analysis;ACM Transactions on Intelligent Systems and Technology;2024-03-29

5. eSVD-DE: cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddings;BMC Bioinformatics;2024-03-15

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