Peter Kharchenko

Professor of Biomedical Informatics, Harvard Medical School

“Case-control analysis of single-cell RNA-seq collections”

Single-cell RNA-seq assays are being increasingly applied in complex study designs, which involve measurements of many samples, commonly spanning multiple individuals, conditions, or tissue compartments. Joint analysis of such extensive, and often heterogeneous, sample collections requires a way of identifying and tracking recurrent cell subpopulations across the entire collection, and an effective way of exploring contrasts between samples. I will discuss the comparative approaches we are developing for analysis of such case-control study designs, using examples from disease-oriented studies.

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