Dohoon Lee

This paper evaluates GaluxDesign, an AI platform, for de novo antibody design, showing a 10.5% binder rate and strong performance on benchmark targets.

The paper evaluates and optimizes sequence-based gene regulatory deep learning models using a DREAM Challenge dataset, showing improvements through architectural and training strategy refinements.

This paper develops a method to predict cancer patient survival using 3D genome-aware features derived from DNA methylation data, showing improved accuracy across seven cancer types.

Metheor calculates DNA methylation heterogeneity from bisulfite reads, offering faster and more efficient analysis than existing tools.

This paper introduces Chromoformer, a transformer-based model that improves the quantitative analysis of histone codes in gene regulation by incorporating 3D chromatin interactions.