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 latests webinars Learn more Single Cell, Infinite Insights: Overcoming Obstacles for Top-Notch Data In this webinar, you will embark upon a research journey alongside Luigina De Leo and our other speakers, using a challenging case study focusing on… Read more Uncover Cellular Heterogeneity with Advanced Single-cell Multi-Omics Approaches Join us as we delve into the latest single cell sequencing technology advancements, offering deeper insights into complex biological systems. Our webinar will explore the… Read more Single-cell Multi-omics for Immuno-oncology - Prof. Fan Rong Prof. Fan Rong, the Harold Hodgkinson Professor of Biomedical Engineering and Pathology at Yale University, has been driving single-cell innovation since 2006. With expertise in… Read more
Single Cell, Infinite Insights: Overcoming Obstacles for Top-Notch Data In this webinar, you will embark upon a research journey alongside Luigina De Leo and our other speakers, using a challenging case study focusing on… Read more
Uncover Cellular Heterogeneity with Advanced Single-cell Multi-Omics Approaches Join us as we delve into the latest single cell sequencing technology advancements, offering deeper insights into complex biological systems. Our webinar will explore the… Read more
Single-cell Multi-omics for Immuno-oncology - Prof. Fan Rong Prof. Fan Rong, the Harold Hodgkinson Professor of Biomedical Engineering and Pathology at Yale University, has been driving single-cell innovation since 2006. With expertise in… Read more