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Virtual Seminar: 'Probabilistic models of transcriptomic dysregulation in human genetic disease'

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  • UserProf David Knowles, Columbia University
  • ClockThursday 20 May 2021, 14:00-15:00
  • HouseVirtual Seminar .

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

If you would like to join this virtual seminar, please email alison.quenault@mrc-bsu.cam.ac.uk for more information.

Gene regulation is tightly regulated in healthy human development but frequently dysregulated in disease. RNA -seq has become ubiquitous for assaying the transcriptome: the collection of messenger RNA molecules expressed from the genes of an organism. However, significant computational and statistical challenges remain to translate the resulting noisy, confounded RNA -seq data into meaningful understanding of the biological system or disease state under consideration. I will describe our use of probabilistic models, deep learning and convex optimization to address such challenges.

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

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