[BBC] Seminar of Mark Robinson - 3pm October 24 (Thursday) - On the analysis of multi-sample multi-condition replicated single-cell RNA-seq datasets

[Wouter Saelens]

Dear all

This week, Mark Robinson (Institute of Molecular Life Sciences, University
of Zurich), one of the developers of edgeR, is going to give a talk about
his new approach on performing differential expression analysis on
single-cell data with multiple samples and multiple conditions:

Single-cell RNA-sequencing (scRNA-seq) has become an empowering technology
to characterize the transcriptomes of individual cells. Although many early
analyses of differential expression (DE) have focused on finding markers
for cell sub-populations (experimental units are cells), there is now an
emergence of datasets across replicates and multiple conditions where the
goal is to make patient-level inferences (experimental units are patients),
with 100s to 1000s of cells measured for each patient. This provides an
opportunity to go back and make use of the existing robust bulk RNA-seq
frameworks, by first aggregating the data into "pseudobulk" counts at the
subpopulation level. However, this opens up new questions, which we will
address in this talk: how does one track subpopulations across patients? do
we lose information by aggregating? normalization? We will present a
comprehensive framework for flexible multi-sample multi-condition DE of
scRNA-seq experiments.

This will take place on October 24 at 3pm in the FSVM seminar room of the
VIB-UGent building in Zwijnaarde (Technologiepark-Zwijnaarde 71, 9052
Ghent, Belgium).

Kind regards
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