3D shape analysis using deep learning
-
Updated
Oct 8, 2025 - Python
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
Contains the scripts for SynthXenoGen and XenoVol to model and estimate xenograft volumes based on caliper and µCT measurements
Course Materials for teaching AI and BigData in Cancer Biology, including lecture notes and reproducible exercises
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.
Machine learning workflow for analyzing breast cancer gene expression data , including preprocessing, feature selection, model training and performance evaluation in reproducible Jupyter notebooks.
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
Add a description, image, and links to the cancer-biology topic page so that developers can more easily learn about it.
To associate your repository with the cancer-biology topic, visit your repo's landing page and select "manage topics."