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Reproducible single-cell RNA-seq analysis of glioblastoma-associated myeloid cells from GEO dataset GSE131928 using R and Seurat. Includes clustering, UMAP visualization, marker identification, KDM6B expression analysis and figure reproduction from a published study.
This repo builds an interactive view that uses the ESM2 foundation model. It generates embeddings from protein sequences and visualize them in a 2D latent space. The goal is to explore whether proteins with similar biological properties cluster together naturally and to provide insights into what protein language models learn from aa sequence data
fcsumap - gated multi-sample flow-cytometry UMAP A single R script that takes a folder of FCS files, applies a declarative gating strategy, and produces one shared UMAP embedding across all samples, plus the figures and tables needed to interpret and QC it.