Epistasis Blog

From the Artificial Intelligence Innovation Lab at Cedars-Sinai Medical Center (www.epistasis.org)

Friday, August 14, 2009

Casey S. Greene, Ph.D.

Casey Greene from my lab successfully defended his Ph.D. today. The title of his dissertation is "Relief-based bioinformatics methods for the analysis of epistasis in genetic association studies". Nice job Casey!

Casey is off to the Lewis-Sigler Institute for Integrative Genomics at Princeton University where he will be doing a postdoc with Dr. Olga Troyanskaya.

His dissertation chapters include the following papers:

Greene, C.S., Penrod, N.M., Williams, S.M., Moore, J.H. Failure to replicate a genetic association may provide important clues about genetic architecture. PLoS One 4, e5639 (2009). [PubMed]

Greene, C.S., Kiralis, J., Moore, J.H. Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: A theoretical assessment of wrapper vs. filter approaches. Proceedings of the IEEE Congress on Evolutionary Computation, pp. 800-807 (2009). [IEEE]

Greene, C.S., Penrod, N.M., Kiralis, J., Moore, J.H. Spatially uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions. BioData Mining, in press (2009).

Greene, C.S., Kiralis, J., Moore, J.H. The informative extremes: Using both nearest and farthest neighbors can improve Relief algorithms in the domain of human genetics. in review.


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