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SUMMARY:A systems biology approach to identify perturbed processes driving
  cancer - Professor Francesca D. Ciccarelli from King’s College London &
 amp\; The Francis Crick Institute
DTSTART:20190325T130000Z
DTEND:20190325T140000Z
UID:TALK115186@talks.cam.ac.uk
CONTACT:72001
DESCRIPTION:A major challenge in cancer biology is the identification of t
 he genetic alterations promoting cancer. Current methods tackle this compl
 ex task by detecting signs of positive selection and searching for “moun
 tains” and “hills” in the landscape of cancer alterations. However\,
  in cancers where the mountains and hills are very rare and the mutational
  landscape is highly variable but mostly flat\, these approaches are clear
 ly insufficient. \nA novel\, patient-specific approach\, named sysSVM\, to
 wards the comprehensive characterisation of genes contributing to cancer h
 ave been developed.  sysSVM applies machine learning and systems biology t
 o identify new cancer genes based on how similar they are to known cancer 
 genes rather than how frequently their alterations occur across samples. T
 his allows patient-specific predictions. \nIn her seminar\, Professor Cicc
 arelli will describe the features of sysSVM and its application to samples
  from the OCCAMS Consortium to identify the perturbed processes that drive
  oesophageal cancer.\n
LOCATION:CRUK CI Lecture Theatre (Room 001)
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