Used GATK and generated Python scripts to automate work, streamline variant calling process to understand SNPs causing significant imapct on Lung cancer development.
Try to implement deep learning RD-KIT and ML models to understand potential inhibitors binding at lung cancer cell receptors EGFR (epidermal growth factor receptor).
Tested ML and deep learning models like EPI-DLMH, to understand promoter and enhancer interaction Renal carcinoma.
Generated algorithm to fit enhancers and confirming using CNN and different ML models. Implemented supervised and unsupervised learning algorithms such as random forest, KNN, SVM, logistic regression in Python and R environment for predictive analytics projects.