3D shape analysis using deep learning

Swift Phenotypic Analysis of Cells

A collection of summaries and reflective notes from foundational biochemistry courses, including energy metabolism, cell signaling, small molecules, and chemical biology, developed to strengthen understanding of molecular mechanisms and support advanced studies in biochemistry and molecular biology

Machine learning workflow for analyzing breast cancer gene expression data , including preprocessing, feature selection, model training and performance evaluation in reproducible Jupyter notebooks.

A collection of summaries and reflective notes from molecular biology courses, including genetics, epigenetics, gene regulation, genome interpretation, stem cells and RNA biology, designed to strengthen fundamental knowledge and bridge classical molecular biology with modern applications in cancer research and bioinformatics.

Gene co-expression network analysis of Kenyan RNA-Seq data