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Predicting physiological aging rates from a range of quantitative traits using machine learning.
Sun ED, Qian Y, Oppong R, Butler TJ, Zhao J, Chen BH, Tanaka T, Kang J, Sidore C, Cucca F, Bandinelli S, Abecasis GR, Gorospe M, Ferrucci L, Schlessinger D, Goldberg I, Ding J. Sun ED, et al. Among authors: kang j. Aging (Albany NY). 2021 Oct 29;13(20):23471-23516. doi: 10.18632/aging.203660. Epub 2021 Oct 29. Aging (Albany NY). 2021. PMID: 34718232 Free PMC article.
Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci.
Yin X, Chan LS, Bose D, Jackson AU, VandeHaar P, Locke AE, Fuchsberger C, Stringham HM, Welch R, Yu K, Fernandes Silva L, Service SK, Zhang D, Hector EC, Young E, Ganel L, Das I, Abel H, Erdos MR, Bonnycastle LL, Kuusisto J, Stitziel NO, Hall IM, Wagner GR; FinnGen; Kang J, Morrison J, Burant CF, Collins FS, Ripatti S, Palotie A, Freimer NB, Mohlke KL, Scott LJ, Wen X, Fauman EB, Laakso M, Boehnke M. Yin X, et al. Among authors: kang j. Nat Commun. 2022 Mar 28;13(1):1644. doi: 10.1038/s41467-022-29143-5. Nat Commun. 2022. PMID: 35347128 Free PMC article.
Network Marker Selection for Untargeted LC-MS Metabolomics Data.
Cai Q, Alvarez JA, Kang J, Yu T. Cai Q, et al. Among authors: kang j. J Proteome Res. 2017 Mar 3;16(3):1261-1269. doi: 10.1021/acs.jproteome.6b00861. Epub 2017 Feb 17. J Proteome Res. 2017. PMID: 28168878 Free PMC article.
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