Hawlader Abdullah Al-Mamun

The paper introduces synerOmics, a machine learning framework to identify synergistic protein interactions, finding ATL3 as a biomarker for lapatinib resistance in breast cancer.

The paper reports on a competition to predict maize yield using genetic and environmental data, showing that diverse modeling approaches can achieve good results.

crosshap visualizes local haplotype structures and associations with traits using density-based clustering and visualization tools.

This paper introduces a computationally efficient Random Forests method to detect epistatic interactions in genomic data and validates it on simulated and real datasets.

This study evaluates bias and accuracy in genomic breeding value prediction under selection scenarios using different statistical models and finds that SSGBLUP with proper scaling reduces bias and improves accuracy.