Taein Kang

Evaluation and optimization of sequence-based gene regulatory deep learning models

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.

Proformer: a hybrid macaron transformer model predicts expression values from promoter sequences

Proformer predicts gene expression from promoter sequences using a hybrid transformer model with improved performance over conventional designs.