Bioinformatic Analysis of Single Cell Data – Part 5Watch nowIn this webinar, we go over the discussion of the causes of batch effects occurring in single cell RNA-seq data and how to remove them. We discuss on the different methods for data integration coming from multiple layers of information, their pros and cons.What is batch effect?How can it be removed?What is data integration in multi-omics?Check out our latest webinars Learn more The Fundamentals of Single Cell Sequencing Single cell sequencing is an increasingly popular approach for profiling gene expression of individual cells. It allows you to study genes and their functions across… Read more Label-Free Multiplexing Using SNP Genotyping: Bioinformatics Techniques Join us as we cover current sample multiplexing approaches for single cell sequencing, focusing on label-free methods using SNP genotyping. The session is designed for… Read more Uncover Cellular Heterogeneity with Multi-Omics Approaches for Single Cell Analysis | DynaSCOPE Overview Join us as we delve into the latest single cell sequencing technology advancements, offering deeper insights into complex biological systems. In this webinar we’ll explore:… Read more
The Fundamentals of Single Cell Sequencing Single cell sequencing is an increasingly popular approach for profiling gene expression of individual cells. It allows you to study genes and their functions across… Read more
Label-Free Multiplexing Using SNP Genotyping: Bioinformatics Techniques Join us as we cover current sample multiplexing approaches for single cell sequencing, focusing on label-free methods using SNP genotyping. The session is designed for… Read more
Uncover Cellular Heterogeneity with Multi-Omics Approaches for Single Cell Analysis | DynaSCOPE Overview Join us as we delve into the latest single cell sequencing technology advancements, offering deeper insights into complex biological systems. In this webinar we’ll explore:… Read more