Robust differential variability testing for single-cell RNA sequencing data
19th October 2018, 2:00 pm – 3:00 pm
Main Maths Building, SM3
Cell-to-cell transcriptional variability in seemingly homogeneous cell populations plays a crucial role in tissue function and development. Single-cell RNA sequencing can characterise this variability in a transcriptome-wide manner. Among others, this enables the extension of traditional differential expression analyses to also capture changes in transcriptional variability between cell populations (e.g. experimental conditions or cell types). Such analyses, however, are not trivial due to technical artefacts and other confounding effects. In this talk, I will discuss some of the challenges that arise when comparing transcriptional variability profiles between cell populations and introduce our recent extensions to the existing BASiCS statistical framework. I will also illustrate the use of our methods in the context of immune cells. Finally, I will discuss ongoing efforts to improve the scalability of our approach.
This is join work with Nils Eling, Arianne Richard, Sylvia Richardson and John Marioni.