The role of scale in the estimation of cell-type proportions

DOI10.1214/20-AOAS1395zbMath1475.62258OpenAlexW3137890166MaRDI QIDQ2233169

Gregory J. Hunt, Johann A. Gagnon-Bartsch

Publication date: 14 October 2021

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/20-aoas1395

zbMATH Keywords

deconvolutionproportionshigh-throughput sequencing

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Cell biology (92C37)

Uses Software

• CellMix
• DeconRNASeq
• dtangle
• deconvSeq

Cites Work

• A note on oligonucleotide expression values not being normally distributed
• 10.1162/jmlr.2003.3.4-5.993
• ICeD-T Provides Accurate Estimates of Immune Cell Abundance in Tumor Samples by Allowing for Aberrant Gene Expression Patterns
• Quantitative noise analysis for gene expression microarray experiments
• Exploration, normalization, and summaries of high density oligonucleotide array probe level data

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