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个人简介
My main research interests lie in developing statistical machine learning techniques to address significant methodological problems in computational genomics. Recent advances in genome-wide profiling technology have allowed researchers to probe various aspects of biological systems on a system-wide scale, such as the transcriptome, proteome, metabolome, and epigenome. In addition, it is expected that in the future, genome sequencing will become a routine process that can be applied to a large number of individuals. Given the high-dimensional nature of genome-scale data in which many entities interact with each other in a complex manner, I'm interested in developing statistical machine learning techniques for understanding the genetic basis of diseases and disease-related biological processes with the ultimate goal of personalized medicine.
研究兴趣
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Abhinav Adduri,Seyoung Kim
biorxiv(2023)
bioRxiv the preprint server for biology (2023)
JOURNAL OF MACHINE LEARNING RESEARCH (2022): 110:1-110:39
PLoS computational biologyno. 10 (2020): e1007940-e1007940
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