Development of Appropriate Analytical Methods for Molecular Data in Oncology

Technological advances enabling increasingly detailed characterizations of  the genetic and genomic abnormalities in tumours generate rich multidimensional data, including mRNA expression, proteomic expression, epigenetic characterizations as well as genetic data.  Furthermore, these data are increasingly available at the single cell level.  Researchers in  this theme are developing new ways of analysing these data; such methods of analysis then lead to improved understanding of how tumours develop, evolve, and respond to treatment.

Theme leaders:

Dr. Celia Greenwood, Lady Davis Institute for Medical Research, McGill University and 

Dr. Claudia Kleinman, Lady Davis Institute for Medical Research, McGill University

Members:

Dr. Christoph Borchers, Lady Davis Institute for Medical Research, McGill University

Dr. René Zahedi, Lady Davis Institute for Medical Research, McGill University