Appointments:

Associate Professor
Department of Medicine
Section of Genetic Medicine
Department of Pathology/MPMM
Director, Center for Biomedical
     Informatics
Associate Director, UCCRC

Committee on Molecular Medicine/MPMM

Education:

MD, University of Sherbrooke, 1988

Contact:

Phone:  (773) 834-0743

Fax:       (773) 702-2567

E-Mail: lussier@medicine.bsd.uchicago.edu

Address:

The University of Chicago
AMB N660B, (MC 6091)
5841 South Maryland Avenue
Chicago, IL 60637

Related Research Interests:

 

Yves Lussier, M.D.


Research Summary

Dr. Lussier's research group focuses on the development and use of high throughput phenotyping technologies to integrate and analyze genomes with phenotypes and to accurately individualize the prediction and the treatment of diseases. More specifically, he has developed automated computational methods that bring together the fields of molecular bioinformatics, ontologies, and natural language processing in order to code, integrate, structure and mine the escalating wealth of complex and heterogeneous phenotypes. Contributing to the emerging field of “systems medicine”, these methods bridge the “phenotype gap”, as phenotypes are amassed in diverse and insufficiently related clinical, post-genomic and model organism databases.


Selected Papers

Lussier YA; Rothwell DJ; Côté RA. (1998). "The SNOMED Model: A Knowledge Source for the Controlled Terminology of the Computerized Patient Record". Methods of Information in Medicine 37;160-164

Lussier YA, Williams R, Jalan S, Borlawsky T, Li J, Stern E. Partitioning Knowledge Bases Between Advanced Notification and Clinical Decision Support Systems. (accepted for the special issue on "Decision Support in Medicine" of the journal “Decision Support Systems”).

Cantor MN, Sarkar IN, Bodenreider O, Lussier YA. (2005). Genestrace: Phenomic Knowledge Discovery Via Structured Terminology. Pac Symp Biocomput. 103-14

Tao Y, Friedman C, Lussier YA. (2005). “Visualizing information across multidimensional post-genomic structured and textual databases” Bioinformatics. 15;21(8):1659-67. Epub 2004 Dec 14

Lussier YA, Rappaport D, Borlawsky T, Friedman C. (2006). PhenoGO: a Multistrategy Language Processing System Assigning Phenotypic Context to Gene Ontology Annotations. Pacific Symposium on Biocomputing 64-75

 

Faculty and Research

Programs

Cancer Biology


CCB

Immunology


CCB

Microbiology


CCB

Molecular Metabolism
and Nutrition


CCB

Molecular Pathogenesis and
Molecular Medicine


CCB