Mathematical Modelling in Pharmaceutical Development
Dr. Jack A. Tuszynski , University of Alberta
Kinetana, Inc.
Biomira, Inc.
Project CyberCell Inc.
Technology Innovations, LLC
National Institute for Nanotechnology
Cross Cancer Institute
McBride Career Group
YeTaDel Foundation
Oncovista Inc.
Howard J. Greenwald P.C.
Multimedia Advanced Computational Infrastructure (MACI)
Canadian-European Research Initiative on Nanostructure (CERION)
Improving Genome Annotation, Molecular Structure and Interaction Prediction: An Algorithmic Study of Biomolecular Functions
Dr. Anne Condon , University of British Columbia
A Graphical Modeling Framework to Study Complex Dependence Patterns in High-Dimensional Biological Data
[url=mailto:laurent@mshri.on.ca]Dr. Laurent Briollais[/url] , University of Toronto
Graphical models have been one of the most efficient statistical tools used in the last twenty years for the analysis of complex structured high-dimensional data. Graphical models provide a probabilistic framework for making inference and representing the knowledge that we have about these complex structured data. In biological research and more particularly in the emerging -omics disciplines such as genomics, proteomics, metabolomics, transcriptomics, data are often generated from complex high throughput experiments and from complex experimental designs.
[url=http://www.genizon.com/]Genizon Biosciences Inc.[/url]
[url=http://www.wolfram.com/]Wolfram Research[/url]
[url=http://www.ibm.com/ca/en/]IBM[/url]
[url=http://www.tgen.org/]Translational Genomics Research Institute[/url]
