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SUMMARY:Combining multi-omics and biological knowledge to extract disease 
 mechanisms - Julio Saez-Rodriguez\, Faculty of Medicine of Heidelberg Univ
 ersity\, Director of the Institute of Computational Biomedicine and Group 
 Leader at the EMBL- Heidelberg University Molecular Medicine Partnership U
 nit (MMPU)
DTSTART:20220711T130000Z
DTEND:20220711T140000Z
UID:TALK167237@talks.cam.ac.uk
CONTACT:105893
DESCRIPTION:Multi-omics technologies\, and in particular those with single
 -cell and spatial resolution\, provide unique opportunities to study dereg
 ulation of intra- and inter-cellular processes in cancer and other disease
 s. In this talk I will present recent methods and applications from our gr
 oup towards this aim\, with a focus is on computational approaches that co
 mbine data with biological knowledge within statistical and machine learni
 ng methods. This combination allows us to increase both the statistical po
 wer of our approaches and the mechanistic interpretability of the results.
  I will also discuss the value to perform perturbation studies\, combined 
 with mathematical modeling\, to increase our understanding and therapeutic
  opportunities. Finally\, I will show how\, using novel microfluidics-base
 d technologies\, this approach can also be applied directly to biopsies\, 
 allowing to build mechanistic models for individual cancer patients\, and 
 use these models to propose new therapies. \n
LOCATION:CRUK CI Lecture Theatre
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