Robust Differential Composition and Variability Analysis for Multisample Single-cell Omics
Channel: R Consortium
Date: 2022-08-23

Stefano Mangiola, Ph.D., with the University of Melbourne gave a short talk presentation at the Bioconductor Conference 2022. Dr. Mangiola gave his presentation on Robust Differential Composition and Variability Analysis for Multisample Single-cell Omics. 

Dr. Mangionla started the presentation by giving an overview of how the team characterized a microenvironment composition. He then shared the statistical model used for this analysis which inclined counts, composition, group-specific variability, and outliers filtering. From this, Dr. Mangionla continued to explain the mean-variability association, outlier identification, and differential variability. The presentation concluded with resources and acknowledgments shared. 

Main Sections

0:00 Introduction
0:26 Characterizing microenvironment composition
2:44 Statistical model 
4:20 Mean-variability association
5:56 Outlier identification
7:54 Differential variability
10:38 Acknowledgments

More Resources 

Bioconductor Conference Site: https://bioc2022.bioconductor.org/ 
BioC2022 Github: https://github.com/Bioconductor/BioC2022 

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