TPMT case study pharmacogenomics in leukemia treatment

the workflow utilizes R and RStudio to perform Chi-

square statistical testing, determining if biological sex

significantly influences mortality patterns. The process

automatically generates high-resolution survival plots

and demographic summaries, providing data-driven

evidence for Personalized Medicine by identifying how

sex-specific factors impact AML disease progression.

These results are exported as high-quality PNG

visualizations and TXT reports, offering a clear overview

of patient demographics and mortality trends within

the 200-patient cohort.