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SUMMARY:Virtual Seminar: 'Probabilistic models of transcriptomic dysregula
 tion in human genetic disease' - Prof David Knowles\, Columbia University
DTSTART:20210520T130000Z
DTEND:20210520T140000Z
UID:TALK160573@talks.cam.ac.uk
CONTACT:Alison Quenault
DESCRIPTION:Gene regulation is tightly regulated in healthy human developm
 ent 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 computatio
 nal and statistical challenges remain to translate the resulting noisy\, c
 onfounded RNA-seq data into meaningful understanding of the biological sys
 tem or disease state under consideration. I will describe our use of proba
 bilistic models\, deep learning and convex optimization to address such ch
 allenges. 
LOCATION:Virtual Seminar 
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