Fix Common R Errors in scRNA-seq Analysis | Seurat, SingleCellExperiment, and More (scRNAseq 1) скачать в хорошем качестве

Fix Common R Errors in scRNA-seq Analysis | Seurat, SingleCellExperiment, and More (scRNAseq 1)

Welcome to scRNAseq 1 of our Single-Cell RNA Sequencing (scRNA-seq) analysis series in R! This session is focused on troubleshooting common R errors that occur during scRNA-seq workflows using popular packages like Seurat, SingleCellExperiment, and scran. 🛠️ In this video, you will learn how to fix: ❌ Package loading issues (e.g. Seurat, BiocManager, scater) ❌ Object class errors (x not of class Seurat/SingleCellExperiment) ❌ Feature/metadata mismatch warnings ❌ Memory or matrix size limitations (dgCMatrix issues) ❌ Error in FindVariableFeatures(), NormalizeData(), or RunPCA() ✅ Best practices for package installation & session cleanup This tutorial is a must-watch for students, bioinformaticians, and wet-lab researchers working with single-cell data in R. 📌 Timestamps: 00:00 Introduction 01:00 Installing essential scRNA-seq packages 02:30 Loading data without errors 04:00 Fixing Seurat object errors 05:30 Feature/metadata mismatch: what it means & how to fix 07:00 Resolving dimension, PCA & matrix-related issues 09:00 Tips to avoid version conflicts 10:00 Summary and best practices 🔔 Like, Comment & Subscribe to stay updated on scRNA-seq tutorials!#scRNAseq #Seurat #RProgramming #SingleCell #Bioinformatics #Batch1 #GeneExpression #Troubleshooting