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Multifactor dimensionality reduction (MDR) is a statistical approach, also used in machine learning automatic approaches, for detecting and characterizing combinations of attributes or independent variables that interact to influence a dependent or class variable. MDR was designed specifically to identify nonadditive interactions among discrete variables that influence a binary outcome and is considered a nonparametric and model-free alternative to traditional statistical methods such as logistic regression.
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Ümit V. Çatalyürek is a professor of computer science at the Georgia Institute of Technology, and Adjunct Professor in department of Biomedical Informatics at the Ohio State University. He is known for his work on graph analytics, parallel algorithms for scientific applications, data-intensive computing, and large scale genomic and biomedical applications. He was the director of the High Performance Computing Lab at the Ohio State University. He was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2016 for contributions to combinatorial scientific computing and parallel computing.
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Keith A. Crandall is an American computational biologist, bioinformaticist, and population geneticist, at George Washington University, where he is the founding director of the Computational Biology Institute, and professor in the Department of Biostatistics and Bioinformatics.
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Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics, Biomedical informatics, and machine learning, with the goal of understanding biological and medical data. It can be viewed as the study and application of data science to solve biomedical problems. Modern biomedical datasets often have specific features which make their analyses difficult, including:
References
- ↑ Ritchie, Marylyn D.; Hahn, Lance W.; Roodi, Nady; Bailey, L. Renee; Dupont, William D.; Parl, Fritz F.; Moore, Jason H. (2001-07-01). "Multifactor-Dimensionality Reduction Reveals High-Order Interactions among Estrogen-Metabolism Genes in Sporadic Breast Cancer". The American Journal of Human Genetics. 69 (1): 138–147. doi:10.1086/321276. PMC 1226028 . PMID 11404819.
- ↑ Hahn, L. W.; Ritchie, M. D.; Moore, J. H. (2003-02-12). "Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions". Bioinformatics. 19 (3): 376–382. doi: 10.1093/bioinformatics/btf869 . ISSN 1367-4803. PMID 12584123.
- ↑ Olson, Randal S.; Urbanowicz, Ryan J.; Andrews, Peter C.; Lavender, Nicole A.; Kidd, La Creis; Moore, Jason H. (2016-03-30). Automating Biomedical Data Science Through Tree-Based Pipeline Optimization. Applications of Evolutionary Computation. Lecture Notes in Computer Science. Vol. 9597. Springer, Cham. pp. 123–137. arXiv: 1601.07925 . doi:10.1007/978-3-319-31204-0_9. ISBN 978-3-319-31203-3. S2CID 9709316.
- ↑ Olson, Randal S.; Bartley, Nathan; Urbanowicz, Ryan J.; Moore, Jason H. (2016-01-01). "Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science". Proceedings of the Genetic and Evolutionary Computation Conference 2016. GECCO '16. New York, NY, USA: ACM. pp. 485–492. arXiv: 1603.06212 . doi:10.1145/2908812.2908918. ISBN 9781450342063. S2CID 7142590.
- ↑ Olson, Randal S.; Sipper, Moshe; La Cava, William; Tartarone, Sharon; Vitale, Steven; Fu, Weixuan; Holmes, John H.; Moore, Jason H. (2017-05-01). "A System for Accessible Artificial Intelligence". arXiv: 1705.00594 [cs.AI].
- ↑ "These Researchers Want the People to Seize the Means of AI Production". Motherboard. 2017-05-03. Retrieved 2017-05-06.
- ↑ "AAAS Members Elected as Fellows". AAAS - The World's Largest General Scientific Society. 2011-12-06. Retrieved 2017-05-06.
- ↑ "Geisel School of Medicine - Dartmouth's Jason Moore selected as a Kavli Fellow of the National Academy of Sciences". geiselmed.dartmouth.edu. Retrieved 2017-05-06.
- ↑ "13 Fellows Inducted into American College of Medical Informatics". PRWeb. Retrieved 2017-05-06.
- ↑ "Director of the Penn Institute for Biomedical Informatics Jason Moore Elected as a Fellow of the American Statistical Association – PR News". www.pennmedicine.org. Retrieved 2017-05-06.
- ↑ "The International Academy of Health Sciences Informatics announces the 2021 Class of Academy Fellows". 28 May 2021.
- ↑ "Elected Members of the International Statistics Institute (ISI)".
