3D shape analysis using deep learning

Swift Phenotypic Analysis of Cells

Effect of point mutations on p53 tumor suppressor protein structure : RasMol visualization with RMSD, B-factor & SASA statistical analysis

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

RNA-seq, ChRO-seq, single-cell, and cancer biology pipelines developed during a research fellowship at the Sethupathy Lab (Cornell) — covering FLC tumor microenvironment analysis

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

Contains the scripts for SynthXenoGen and XenoVol to model and estimate xenograft volumes based on caliper and µCT measurements

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.

Course Materials for teaching AI and BigData in Cancer Biology, including lecture notes and reproducible exercises

Single-nucleus RNA-seq analysis of FLC samples generated by the Khashayar lab, including QC, harmony integration, and CellChat analysis

A comprehensive review of Grade IV cancer with a focus on glioblastoma, covering molecular biology, clinical features, treatments, resistance mechanisms, diet, lifestyle, and future directions.

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