Ongoing Projects

The effect of small cohort sizes and population heterogeneity on differential expression analysis

(PI: M. Medo)
Differential expression analysis of RNA sequencing data aims to find differences in gene expression in biological samples between two or more experimental conditions (e.g., treated and untreated cells). Albeit statistical methods developed for this task have various means of assessing the statistical significance of the results, we find that this significance is substantially overestimated when analyzing small patient cohorts.
We aim to develop methods to:
1 identify the genes whose differential expression generalizes well to other patient cohorts
2 identify patient subpopulations with distinct differential expression patterns.