R code and downstream analysis objects for the scRNA-seq atlas of normal and tumorigenic human breast tissue

Yunshun Chen; Bhupinder Pal; Geoffrey J. Lindeman; Jane E. Visvader; Gordon K. Smyth

doi:10.1038/s41597-022-01236-2

Scientific Data (Mar 2022)

R code and downstream analysis objects for the scRNA-seq atlas of normal and tumorigenic human breast tissue

Yunshun Chen,
Bhupinder Pal,
Geoffrey J. Lindeman,
Jane E. Visvader,
Gordon K. Smyth

Affiliations

Yunshun Chen: The Walter and Eliza Hall Institute of Medical Research
Bhupinder Pal: Olivia Newton-John Cancer Research Institute
Geoffrey J. Lindeman: The Walter and Eliza Hall Institute of Medical Research
Jane E. Visvader: The Walter and Eliza Hall Institute of Medical Research
Gordon K. Smyth: The Walter and Eliza Hall Institute of Medical Research

DOI: https://doi.org/10.1038/s41597-022-01236-2
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 9

Abstract

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Measurement(s) gene expression Technology Type(s) 10x sequencing protocol • mRNA Sequencing Factor Type(s) Gender • Menopause status • Parity • Cancer type • Cell population Sample Characteristic - Organism Homo sapiens

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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