Jianhao Peng

This study investigates cohesin's role in transcriptional loops and DNA replication using human cells, finding that cohesin loss affects long-range chromatin interactions and up-regulates early initiation zone genes.

This paper introduces an interpretable online dictionary learning method for analyzing long-range chromatin interactions in Drosophila using ChIA-Drop data.

The paper introduces an algorithm to infer chromatin interaction patterns from ChIA-Drop data and demonstrates its ability to reconstruct interaction networks and identify functional chromatin elements.

The paper introduces SimiC, a method for inferring gene regulatory networks per cell phenotype and comparing them across conditions, revealing regulatory dynamics missed by single GRN approaches.

The paper introduces E2M, a deep learning framework that predicts methylation patterns from gene expression data in cancer cells, finding that this approach improves parameter estimation and modulates expression assessment.