Ken Murakami

The paper designs tissue-specific enhancers for mouse embryos using deep learning models trained on chromatin accessibility data and validated enhancers.

This study shows how ErbB2 levels affect CDK4 inhibitor sensitivity and the timing of G1/S transition by altering c-Myc and cyclin D function in breast cancer cells.

This paper introduces an attention-based deep neural network to detect cis-regulatory elements at the single-cell level using multi-omics data, showing improved accuracy and cell state clustering.