Statistics Seminar

Su Mo Tu We Th Fr Sa
30 31 1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18 19
20 21 22 23 24 25 26
27 28 29 30 1 2 3
Date/Time:Monday, 07 Apr 2014 from 4:10 pm to 5:00 pm
Location:Snedecor 3105
Cost:Free
URL:www.stat.iastate.edu
Contact:Jeanette La Grange
Phone:515-294-3440
Channel:College of Liberal Arts and Sciences
Categories:Lectures
Actions:Download iCal/vCal | Email Reminder
"Zodiac: A Comprehensive Depiction of Genetic Interactions in Cancer by Integrating TCGA Data", Yuan Ji, Director, Biomedical Research Informatics, Northshore University Health System, University of Chicago, Chicago,Illinois

The Cancer Genomes Atlas (TCGA) provides measurements of various genomic features such as DNA methylation, copy number, gene expression, and protein expression on thousands of patient samples across multiple cancer types. Taking advantage of the multimodal structure of TCGA data, we vertically integrate these genomic features using a class of Bayesian graphical models (BGM) and present Zodiac, an assembly of these BGM results into a large-scale database and information system. The backend of Zodiac contains inferred interactions between features of 19,304 genes and the 186,312,556 possible gene pairs between them; the interactions are inferred based on BGM analyses of genome-wide TCGA data. On the front end, Zodiac provides a user-friendly interface for visualizing genetic interactions as graphs. Owing to probabilistic inference under the Bayesian models, false discovery rates of reported graphs are controlled using posterior probabilities, ensuring the reliability of the reported genetic interactions. As a unique resource of analytic results based on integration of multimodal TCGA data, Zodiac is expected to facilitate cancer research on a wide range of topics. We illustrate the potential impact of Zodiac with a few examples in different fields of research. Zodiac is publicly available at http://www.compgenome.org/ZODIAC.