Fast-Track Your scRNASeq Knowledge: Hands-on, Differential Gene Expression Analysis (DEG) скачать в хорошем качестве

Fast-Track Your scRNASeq Knowledge: Hands-on, Differential Gene Expression Analysis (DEG)

This video is part of the practical session series that accompanies the lecture “Fast-Track Your scRNASeq Knowledge: Key Techniques & Workflows”, delivered during the DDLS training. In this module, we walk through how to perform differential gene expression (DEG) analysis across clusters or experimental conditions using Scanpy. DEG analysis helps identify marker genes, characterize cell types, and explore biological differences between groups. 📊 In this video: Overview of DEG in single-cell data Using sc.tl.rank_genes_groups() for cluster-wise comparison Exploring statistical methods: t-test, Wilcoxon, and logreg Visualizing results with rank plots, violin plots, and dot plots Comparing DEGs across conditions (e.g., COVID vs control) 📁 Scripts & resources: [GitHub Repository](https://github.com/nimarafati/scRNASe...) 📌 Ideal for students, researchers, and professionals working in single-cell transcriptomics, biomarker discovery, or comparative analysis.