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 Beyond Standard Single Cell Sequencing: Adding a New Dimension to Biological Discovery Standard single cell RNA sequencing is a powerful starting point in life science research, but it only tells part of the story. In this webinar,… Read more A translational study to understand sleep and cardiometabolic health during Ramadan Ramadan fasting brings profound changes to daily routines, including sleep timing, meal patterns, and physical activity, yet its effects on cardiometabolic health remain incompletely understood…. Read more Podcast: How to find the T cells that matter What if your next routine blood draw could provide a complete “immune passport”—revealing every vaccine you’ve ever had, every disease you’re currently fighting, and exactly… Read more
Beyond Standard Single Cell Sequencing: Adding a New Dimension to Biological Discovery Standard single cell RNA sequencing is a powerful starting point in life science research, but it only tells part of the story. In this webinar,… Read more
A translational study to understand sleep and cardiometabolic health during Ramadan Ramadan fasting brings profound changes to daily routines, including sleep timing, meal patterns, and physical activity, yet its effects on cardiometabolic health remain incompletely understood…. Read more
Podcast: How to find the T cells that matter What if your next routine blood draw could provide a complete “immune passport”—revealing every vaccine you’ve ever had, every disease you’re currently fighting, and exactly… Read more