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UID:fdaf14c518c0324798b7df8f84b18aaa
DTSTAMP:20260612T085336Z
SUMMARY:Anna Seigal (Oxford): Algebra and tensors give interpretable groups
  for crosstalk mechanisms in breast cancer
DESCRIPTION:Cancer cells respond to the signaling molecules they encounter 
 in different ways\, and these differences play an important role in predic
 ting tumor development and drug response. Breast cancer cell lines are tra
 ditionally divided into three subtypes\, but the existing classification m
 ay not be a good predictor of response to signaling molecules.\nWe develop
  a new method to group the responses which keeps track of the multi-dimens
 ional structure of the original data. With imposed “interpretability” 
 restrictions on the final clusters\, we proceed via integer programming. T
 he final stage is to construct mechanistic models that summarize\, for eac
 h cluster\, the crosstalk between two main communication pathways AKT and 
 ERK.
URL:https://www.imperial.ac.uk/events/102301/algebra-and-tensors-give-inter
 pretable-groups-for-crosstalk-mechanisms-in-breast-cancer/
DTSTART;TZID=Europe/London:20160517T130000
DTEND;TZID=Europe/London:20160517T140000
LOCATION:140\, Huxley Building\, South Kensington Campus\, Imperial College
  London\, London\, SW7 2AZ\, United Kingdom
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