Introduction to Single-Cell RNA-seq Data Analysis

This chapter provides an essential overview of single-cell sequencing, a revolutionary technology that enables the study of individual cell genomes and transcriptomes, revealing cellular heterogeneity and dynamic biological processes. We explain the fundamental principles of single-cell sequencing, the detailed methodology, and its diverse applications in fields. Focusing on single-cell RNA sequencing (scRNA-seq), we highlight its significance in capturing the transcriptomic profiles of individual cells and advancing our understanding of cellular functions and interactions. We discuss the major challenges in scRNA-seq and explore the application of machine learning techniques. This chapter equips readers with a foundational understanding of single-cell sequencing technologies, the critical impact of scRNA-seq, and the powerful role of machine learning in overcoming analytical challenges, thereby facilitating advancements in personalized medicine and targeted therapies.