How to Build a Single-Cell RNA-seq Analysis Pipeline with Scanpy for PBMC Clustering, Annotation, and Trajectory Discovery

A comprehensive Scanpy pipeline is developed for single-cell RNA sequencing analysis of PBMC data, including preprocessing, clustering, trajectory inference, and custom gene-set scoring. This pipeline transforms raw data into biological insights by cleaning the dataset, identifying marker genes, and visualizing cellular structures.

This workflow benefits researchers by enabling detailed exploration of immune cell types and their developmental trajectories using advanced computational methods in Scanpy.

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