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

End-to-end computational framework for designing cancer identity reversion therapies: scRNA-seq → Waddington attractor mapping → epigenetic switch set prediction → TCIP bifunctional molecule design

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

Personal academic site for Molham Sakkal - Cancer Cell Biology and Drug Delivery research at Al Ain University HBRC. Auto-synced from Google Scholar weekly.

Interactive educational tools in cancer biology, molecular biology & nanomedicine — Dr. Hugo Leonid Gallardo Blanco · UANL

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.

RNA-seq transcriptomic analysis of colorectal cancer liver metastasis using limma-voom, ORA and GSEA.

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

Prioritization of anticancer drugs against a cancer using genomic features of cancer cells: A step towards personalized medicine

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.

Structural bioinformatics analysis of the EGFR T790M drug-resistance mutation using BioPython, protein structure analysis, ligand interaction mapping, and mutation characterization.

Endometrial Cancer gene DataBase

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

构建ecDNA肿瘤进化模型：mechanistic simulation of ecDNA-bearing tumor evolution and chemotherapy adaptation

AlphaFold-powered structural bioinformatics workflow for cancer-associated p53 mutations, including stability, confidence, and hotspot analysis.

Org landing page hub for Scholarly Bright Minds - early-career researchers in pharmacy, drug discovery, cancer biology, and clinical pharmacy.

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