Meet the author: Hae Kyung Im.
Journal:
Cell genomics
Published Date:
May 14, 2025
Abstract
Hae Kyung Im's research group focuses on quantitative computational and statistical methods to tackle genomic data analysis and provides methods to translate the vast amount of genomic data for health research. In collaboration with Mengjie Chen's group, also based at the University of Chicago, Im et al. have published their article "scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework" in Cell Genomics. This is a powerful deep learning approach to improve transcriptome-wide association study analysis, and researchers can apply this method to better understand complex disease genomics.
