In my transcriptomic biomarker discovery project, I analyzed publicly available NCBI GEO data to identify genes that distinguish TTP remission patients from healthy controls. I used R and Bioconductor for microarray processing, differential expression analysis, and biomarker evaluation, identifying five candidate biomarkers.
For a skin cancer diagnosis study published in IEEE, I contributed to using the Genghis Khan Shark Optimizer for feature selection, improving accuracy from 93.78% to 96%. I also developed image preprocessing pipelines with OpenCV and NumPy and directed technical documentation and methodology structuring for peer-reviewed IEEE publications.
