Akram Mohammed

This paper uses IBD-based clustering to reveal environmental and health disparities across subcommunities in a biobank dataset.

The paper analyzes genomic data from a diverse cohort to highlight genetic diversity and disparities in disease prevalence linked to ancestry and environment.

The paper identifies 54 differentially expressed genes in pediatric septic shock patients and links them to immune response and chemokine pathways, distinguishing survivors from non-survivors.

CancerDiscover is a pipeline that automates data integration, preprocessing, and classification model generation for cancer detection and biomarker identification using machine learning.