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BSU virtual seminar: "Assessing batch effects and their implications in single cell RNA sequencing experiments"

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  • UserProf Sarah Langley, Lee Kong Chian School of Medicine, NTU, Singapore
  • ClockTuesday 23 November 2021, 12:00-13:00
  • HouseVirtual Seminar .

If you have a question about this talk, please contact Alison Quenault.

This will be a virtual seminar. If you would like to attend, please email alison.quenault@mrc-bsu.cam.ac.uk for the joining information.

Single cell RNA sequencing has become an important tool for investigating cell populations and their response to conditions such as age, disease or stimulation as well as the identification of novel cell populations. These sequencing experiments generate complex, high dimensional datasets which are confounded by technical and sample biases that can obscure important biological effects. Adequately identifying and correcting for these effects is vital but given the high dimensionality, their identification is not always straightforward. Here I will discuss some of our ongoing work in developing a geometric based methodology, using partial Hausdorff distances, for identifying these batch effects and highlight the implications these effects have on key aspects of single cell RNA -seq analysis: clustering, visualization and cell type annotation.

This talk is part of the MRC Biostatistics Unit Seminars series.

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