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Eleazar Eskin is a computer scientist and geneticist, professor and Chair of the Department of Computational Medicine, and professor of computer science and human genetics at the University of California, Los Angeles. His research focuses on bioinformatics, genomics, and machine learning. A primary research focus is on developing statistical and computational techniques to probe the genetic basis of human disease.

Awards and honours

He was elected a Fellow of the International Society for Computational Biology (ISCB) in 2019 for "outstanding contributions to the fields of computational biology and bioinformatics".

Selected research

• Kang, Hyun Min, et al. "Variance component model to account for sample structure in genome-wide association studies." Nature genetics 42.4 (2010): 348.
• Kang, Hyun Min, et al. "Efficient control of population structure in model organism association mapping." Genetics 178.3 (2008): 1709–1723.
• Tompa, Martin, et al. "Assessing computational tools for the discovery of transcription factor binding sites." Nature biotechnology 23.1 (2005): 137.
• Leslie, Christina, Eleazar Eskin, and William Stafford Noble. "The spectrum kernel: A string kernel for SVM protein classification." Biocomputing 2002. 2001. 564–575.

References

1. "ZarLab - Eleazar Eskin". ucla.edu. Retrieved 2 December 2019.
2. "UCLA Computational Medicine Faculty Page". Retrieved February 23, 2021.
3. "Discovering Genes Involved in Disease and the Mystery of Missing Heritability". cacm.acm.org. Retrieved 31 December 2021.
4. "ISCB Fellows". www.iscb.org. Archived from the original on 2017-03-20. Retrieved 2019-04-11.

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