Application of multivariate statistical methods and machine learning to the analysis of high-throughput data arising from genomic, transcriptomic and proteomic studies of cancer, with a particular focus on meta analysis and integration of microarray data from multiple studies, to further our understanding of
- molecular heterogeneity of tumor subtypes
- cancer microenvironment in breast and ovarian cancer.
BSc 1994 University of Limerick, Ireland
PhD. 2000 University of Manchester, UK
We are on the 8th Floor of the Smith Building, at the intersection of Shattuck Street, Binney St and Jimmy Fund Way. 
Please see the Dana-Farber Cancer Institute web site for maps and directions.
Mailing Address:
Aedin Culhane,
450 Brookline Ave,
Smith SM822C
Boston, MA 02215
Advanced R / Bioconductor Workshop on High-Throughput Genetic Analysis
February 27-28, 2012
Fred Hutchinson Cancer Research Center - Seattle, WA
BIO 503 - Programming & Stat Modeling (January 2012)
Harvard School of Public Health, Winter 2012
Dr. A. Culhane
1.250 Credit hours
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