scClassify: sample size estimation and multiscale classification of cells using single and multiple reference-Reference-Cited by-同舟云学术

scClassify: sample size estimation and multiscale classification of cells using single and multiple reference

Published:2020-06 Issue:6 Volume:16 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Lin Yingxin¹²,Cao Yue¹²,Kim Hani Jieun¹²³,Salim Agus⁴⁵⁶,Speed Terence P⁶^ORCID,Lin David M⁷,Yang Pengyi¹²³^ORCID,Yang Jean Yee Hwa¹²

Affiliation:

1. School of Mathematics and Statistics University of Sydney Sydney NSW Australia

2. Charles Perkins Centre University of Sydney Sydney NSW Australia

3. Computational Systems Biology Group Children's Medical Research Institute University of Sydney Westmead NSW Australia

4. Department of Mathematics and Statistics La Trobe University Bundoora VIC Australia

5. Baker Heart and Diabetes Institute Melbourne VIC Australia

6. Bioinformatics Division Walter and Eliza Hall Institute of Medical Research Parkville VIC Australia

7. Department of Biomedical Sciences Cornell University Ithaca NY USA

Funder

Australian Research Council

National Health and Medical Research Council

National Institutes of Health

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.20199389

Reference68 articles.

1. A comparison of automatic cell identification methods for single-cell RNA sequencing data

2. scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data

3. Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage

4. Cell type discovery and representation in the era of high-content single cell phenotyping

5. A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure

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