Doris Kafita

The paper investigates dark genes' role in genetic diseases and phenotypes using network and functional enrichment analyses across molecular datasets, identifying potential regulators and hub proteins associated with multiple diseases.

This study examines genetic, CRISPR-based, and pharmacological dependencies in human cancers by analyzing the dark genome, finding similar dependencies across light and dark genomes and linking dark gene mutations to worse patient outcomes.

This study analyzes transcriptomic data from The Cancer Genome Atlas to identify genetic differences in AML between African and European patients, finding distinct pathway and kinase enrichments.

This study identifies two distinct pancreatic cancer subtypes through proteogenomic analysis and links them to altered molecular pathways and clinical outcomes.

The paper investigates ELF4 expression in human cancers, finding it correlates with worse outcomes and drug resistance across 32 cancer types.

This study identifies key regulatory pathways and proteins in HPV-positive cervical cancer through systems-level analysis, suggesting potential drug targets.