Alfred O. Hero

Struct2Graph predicts protein-protein interactions using 3D structural data with high accuracy and identifies key residues involved in interactions.

The paper uses LSTM to model synthetic human gut microbiome dynamics, outperforming traditional models and identifying key microbial drivers of metabolite production.

The paper introduces a dynamic multilayer network approach to analyze the 4D Nucleome, showing improved predictions of form-function relationships in cellular reprogramming.

The paper investigates parental allele-specific genome architecture and transcription dynamics during the cell cycle in lymphoblastoid cells, identifying allele-biased expression and chromatin organization features.