Compositional Data Analysis using Kernels in mass cytometry data

• Published in: Bioinformatics Advances Vol. 2; no. 1; p. vbac003
• Main Authors: Rudra, Pratyaydipta, Baxter, Ryan, Hsieh, Elena W Y, Ghosh, Debashis
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 2022
• Subjects: Bioinformatics; Cytometry; Data analysis; Original; Systemic lupus erythematosus
• ISSN: 1367-4803; 2635-0041; 2635-0041
• DOI: 10.1093/bioadv/vbac003

Motivation Cell-type abundance data arising from mass cytometry experiments are compositional in nature. Classical association tests do not apply to the compositional data due to their non-Euclidean nature. Existing methods for analysis of cell type abundance data suffer from several limitations for...