zamushwani

Building Model Context Protocol servers that give AI agents structured, tested access to biomedical databases.

Integrated analysis of expression, mutation, copy number, and methylation data from TCGA and GEO for solid tumor characterization.

Information extraction from clinical free text.

Whole-slide image processing and slide-level modelling for cancer histopathology.

Dose-response modeling and drug sensitivity prediction in cancer cell lines.

Estimate immune and stromal cell composition from bulk RNA-seq using multiple algorithms.

Full single-cell RNA-seq pipeline from raw counts to biological interpretation.

When to use scGPT, Geneformer, UCE, and the perturbation models, and when a linear baseline beats them.

Processing and analysis of spatially resolved transcriptomics across sequencing-based (Visium, Visium HD, Slide-seq, Stereo-seq) and…

Time-to-event analysis for cancer clinical data.

Systematic review and meta-analysis for clinical and preclinical evidence.

Annotation and clinical interpretation of DNA variants in cancer.