Integrative computational biology, big data analytics, data mining, machine learning, data visualization
Research at the Jurisica lab focuses on integrative informatics and the representation, analysis and visualization of high-dimensional data to identify prognostic/predictive signatures, determine clinically relevant combination therapies, and develop accurate models of drug mechanism of action and disease-altered signaling cascades.
We have published extensively on data mining, visualization and cancer informatics, including multiple papers in Science, Nature, Nature Medicine, Nature Methods, J Clinical Oncology, including 623 highly influential citations (SemanticScholar), and have been cited more than 14,389 times (SCOPUS). Jurisica has been included in Thomson Reuters 2014, 2015, 2016 lists of Highly Cited Researchers and The World's Most Influential Scientific Minds: 2014 and 2015 Reports. Since 2015, he has also served as Chief Scientist at the Creative Destruction Lab, Rotman School of Management.
Scalable data analytics, complex data visualization, annotation and interpretation, data mining and machine learning; developing accurate models of drug mechanism of action and disease-altered signaling cascades; data-mining-based identification of prognostic signatures.
- Information and communication technologies and media
- Life sciences, pharmaceuticals and medical equipment
Specialized labs and equipment
|
Specialized lab |
Equipment |
Function |
|---|---|---|
|
IBM Life Sciences Discovery Centre |
Servers, clusters, storage |
384 cores in IBM pSeries servers (2X p770, p780, p750, 2x p570, p595), GPU cluster with 84 Nvidia K20 cards, 1,344-core Linux cluster, and more than 1.6PB of hierarchical disc storage, with an LTO4 robotic tape library for long-term data archive. IBM World Community Grid (www.worldcommunitygrid.org)
Access to Compute Canada’s HPC resources. |
Private and public sector research partners
- University of Toronto
- McMaster University
- York University
- Queen’s University
- Université de Montréal
- University of British Columbia-BC Cancer Agency
- European Bioinformatics Institute
- CNRS – Université de Lyon
- Slovak Academy of Sciences
- Sao Paulo State University
- University of Zurich
- Hauptman Woodward Medical Research Institute
- Centro di Riferimento Oncologico (CRO)
- IBM
- Lenovo
Additional information
|
Title |
URL |
|---|---|
|
Main lab home page (multiple links from there) to our resources: |
|
|
Research Websites |
http://ophid.utoronto.ca/navigator http://ophid.utoronto.ca/pathDIP http://ophid.utoronto.ca/mirDIP http://ophid.utoronto.ca/fpclass |