Tae‐Min Kim

This study evaluates false positive and false negative errors in targeted NGS by analyzing reference-standard samples from certified providers.

This study uses spatial transcriptomics to analyze gastric cancer tumor microenvironments, identifying subtypes and functional interactions between cell types that correlate with clinical outcomes.

ETCHING is an ultra-fast somatic structural variation caller that reduces mapping costs and false positives using pan-genome k-mer sets and a Random Forest classifier.