Yunhee Jeong

MethylBERT is a Transformer-based model that identifies tumour-derived reads and estimates tumour purity from bulk samples, outperforming existing methods in accuracy.

scMaui is a deep learning framework that integrates single-cell multiomics data, handles batch effects, and addresses missing data, showing improved performance in downstream analyses.

This study benchmarks six sequencing-based and two array-based cell-type deconvolution methods for bulk DNA methylomes, identifying the best-performing method and factors affecting performance.

This paper introduces a Dilated Saliency U-Net for WMH segmentation using an irregularity age map, achieving better performance with fewer parameters and shorter training time.