Thu, 09/08/2016 - 10:00am to 11:00am
Event Location:
BIO5 Room 103
Contact Info:
Colleen - ckenost@email.arizona.edu
Mining heterogeneous data sources to enhance association studies
Simone Marini, PhD
Postdoc fellow, Akutsu Laboratory
University of Kyoto, Japan
Thursday, Sept 8th
10:00 am | BIO5 Rm 103
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Association studies involving complex diseases with a strong genetic component aim to unveil the role of genomic variants and design classification models for diagnosis, prognosis, precision or personalized medicine. In addition to the traditional gene-only association search, here we discuss a general framework merging domain, pathway and protein-protein interaction data. By mining external knowledge bases is possible to boost the association results, retrieve a network of interlaced elements, and design more efficient prediction models.