End-to-end spatial transcriptomics pipeline for 10x Genomics Visium human brain glioblastoma — cell type annotation, GBM subtype characterization, and spatial neighborhood analysis

Integrated analysis of normal, ER+, HER2+, TNBC and metastatic breast cancer single-cell transcriptomes to identify cell populations, epithelial tumor states and subtype-specific programs.

Single-cell RNA-seq analysis workflow (Seurat + Scanpy). QC → HVG → PCA → UMAP → Leiden → marker annotation. POC: 10x PBMC 3k — 2,643 cells post-QC, 7 Leiden clusters mapped to canonical T/B/Monocyte/NK lineages.

End-to-end single-cell RNA-seq analysis pipeline in Python using a real public 10x Genomics dataset, including QC, clustering, marker gene analysis, annotation, and visualization.