Fast-Track Your scRNASeq Knowledge: Key Techniques & Workflows скачать в хорошем качестве

Fast-Track Your scRNASeq Knowledge: Key Techniques & Workflows

In this one-hour lecture, we dive into the essentials of single-cell RNA sequencing (scRNASeq) data analysis, condensed from a week-long workshop into a streamlined overview. Whether you're new to scRNASeq or looking for a refresher, this session covers the foundational steps and key techniques you need to know. What you'll learn: Overview of scRNASeq techniques and technologies Quality control (QC) strategies to ensure data reliability Identifying and handling doublets Filtering criteria for robust data preprocessing Dimensionality reduction for data visualization and analysis Normalization methods to prepare data for interpretation Basics of differential expression analysis Perfect for researchers, bioinformaticians, and students, this lecture offers a concise yet comprehensive guide to understanding the scRNASeq workflow. Start fast-tracking your scRNASeq knowledge today! Here is the link to the code: https://github.com/nimarafati/scRNASe...