University of Cambridge > > MRC Biostatistics Unit Seminars > Virtual Seminar: 'Probabilistic models of transcriptomic dysregulation in human genetic disease'

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 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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