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Applying different types of machine learning algorithms, including random forest and neural networks, to better classify clinical data as well as genomic, transcriptomic, proteomic data to understand the biological implications behind clinical features and disease mechanisms. Population genetics allows further understanding the selection of traits and their functions in populations.
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Publications:
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Ding M#, Wang T#, Ko AM# et al, Ancient mitogenomes show plateau populations from last 5,200 years partially contributed to present-day Tibetans. Proceedings of the Royal Society B 2020 Mar http://doi.org/10.1098/rspb.2019.2968 (SCI, IF= 4.303, R/C=11/87, BIOLOGY -SCIE)
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Ko AM et al. A 22,000-year-old Giant Panda from Guangxi Province in Southern China Reveals a New Mitochondrial Lineage of Pandas. Current Biology, 2018 Jun 18;28(12):R693-R694. doi: 10.1016/j.cub.2018.05.008. (SCI, IF= 9.193, R/C= 20/298, BIOCHEMISTRY & MOLECULAR BIOLOGY - SCIE)
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Lee CH#, Ko AM# et al. Association of DSM-5 Betel-Quid Use Disorder with Oral Potentially Malignant Disorder in 6 Betel-Quid-Endemic Asian Populations. JAMA Psychiatry, 2018 Mar 1;75(3):261-269. doi: 10.1001/jamapsychiatry.2017.4307 (SCI, IF= 15.916, R/C= 3/146, PSYCHIATRY - SCIE)
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Ko AM et al. Early Austronesians: into and out of Taiwan. American Journal of Human Genetics, 2014 Mar 6;94(3):426-36. doi: 10.1016/j.ajhg.2014.02.003. (SCI, IF= 9.924, R/C= 7/174, GENETICS & HEREDITY - SCIE)
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Ko AM, et al. ALPK1 genetic regulation and risk in relation to gout. International Journal of Epidemiology, 2013 Apr;42(2):466-74. doi: 10.1093/ije/dyt028. (SCI, IF= 7.339, R/C= 6/185, PUBLIC, ENVIRONMENT & OCCUPATIONAL HEALTH - SCIE)
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