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SUMMARY:Development of machine learning based approaches for identifying n
 ew drug targets - Namshik Han\, Milner Therapeutics Institute
DTSTART:20180220T130000Z
DTEND:20180220T140000Z
UID:TALK100795@talks.cam.ac.uk
CONTACT:Dr Vivien Gruar
DESCRIPTION:The aim of the Project is to combine detailed molecular studie
 s with machine learning approaches to understand how genetic and epigeneti
 c factors give rise to unique gene expression patterns in response to huma
 n diseases. \n\nTo address this\, we attempt to utilise the vast wealth of
  biological data produced by modern large scale genomic projects. Modern e
 xperimental techniques allow direct genome-wide measurement of various mol
 ecular feature and these measurements are deposited in large scale quantit
 ative databases. However\, the complex interactions of multiple genetic an
 d epigenetic factors are hard to determine experimentally. In the absence 
 of such biological experiments\, it becomes necessary to utilise systemati
 c analysis methods\, including machine learning. \n\nCurrent state-of-the-
 art takes existing knowledge and asks "How does this data relate to what w
 e already know?" By applying machine learning approaches the Project will 
 integrate and explore the data to discover new biological knowledge and ge
 nerate testable hypotheses. The Project is open-ended. \n
LOCATION:MR3 Centre for Mathematical Sciences
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