Our lab develops computational approaches to investigate disease through the integration of genomic and imaging data. Using bioinformatics and image analysis methods, we have established paradigms to perform in silico tissue-based studies that leverage genomic, pathology and radiology data to explore relationships between imaging and molecular phenotypes, and to characterize spatial molecular heterogeneities and their significance in malignancies.
I recently recieved a career development award from the National Library of Medicine (NLM) to develop informatics methodology for a prospective study of intra-tumoral variations of molecular targets in glioblastomas. What are we developing. We use these tools to investigate with our collaborators in basic science and medicine.
Department of Biomedical Informatics
Emory University School of Medicine
36 Eagle Row, 5th Floor South
Atlanta, GA 30322
August 11th, 2013: Lee will be giving a talk at the Vanderbilt ICIBM workshop on next-gen sequencing.
July 25th, 2013: The Cancer Digital Slide Archive will be published in a special issue of the Journal of the American Medical Informatics Association.
Cancer Digital Slide Archive: an informatics resource to support integrated in silico
analysis of TCGA pathology data, Gutman et al, JAMIA, In Press
Tumor-infiltrating lymphocytes in glioblastoma are associated with specific genomic alterations and related to transcriptional class, Rutledge et al,
Clinical Cancer Research, In Press [pubmed]
MR imaging predictors of molecular profile and survival: multi-institutional
study of the TCGA glioblastoma data set, Radiology, May 2013