This page is a repository of projects I performed in data science and predictive analytics, emphasizing projects for which I aimed to present interpretable models. For viewers interested in medical writing samples, those can be found on the “Writing Samples” page, where examples and articles found in weblinks are short news briefs presented in AMA style.
Promoter identification
For this project involving predicting bacterial promoter sequences, the link is to the Jupyter Notebook with code. A separate link, to a PDF in the file’s subfolder (“Promoter sequences”), shows outputs from all of the notebook’s cells, as GitHub has limitations on presenting some output directly from code. Link: Neural network and machine learning methods to identify bacterial promoter sequences, with model interpretability using SHAP and LIME python packages.