Sunduz Keles

HOME RESEARCH PUBLICATIONS TEACHING PRESENTATIONS SOFTWARE CV LINKS	Research interests: My research interests are broadly in  application of  statistics to genomic problems, computational biology, and complex censored data problems.  In particular, I work in the following areas: Regulatory  motif finding in biological sequences Estimation, inference and model selection  in censored data structures Statistical methods for analyzing ChIP-Chip data Statistical computing Comparative genomics Past and present collaborators: Simon Cawley (Affymetrix) Hulusi Cinar (UC Santa Cruz) Sandrine Dudoit (UC Berkeley) Michael Eisen (UC Berkeley) Mark J. van der Laan (UC Berkeley) Duncan Temple Lang (UC Davis) Mark Segal (UCSF) Chris Vulpe (UC Berkeley)