Maziya Ibrahim

The paper builds genome-scale metabolic models for eight cancer types to identify tissue-specific metabolic rewiring and synthetic lethal gene pairs supported by computational validation.

This study assesses how cellular deconvolution affects transcriptomic analyses of Alzheimer's disease, showing that correction reshapes differential gene expression and pathway enrichment, revealing more consistent cell intrinsic signatures.

The paper introduces FROG analysis to standardize reproducibility assessments of genome-scale metabolic models, resulting in full reproducibility of all tested models.

The paper introduces a computational framework to design two-species microbial communities for optimal lactate production using genome-scale metabolic models.