
Episode 3: What the Tutorials Don’t Tell You: Overcoming Challenges in Single-Cell Omics Data Analysis
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Single-cell omic technologies such as single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) have transformed our ability to dissect cellular heterogeneity within complex tissues. However, while these tools are now widely accessible, many researchers still grapple with key analytical challenges that are rarely addressed in tutorials and published workflows.
In this webinar, Dr. Joshua Campbell will take you beyond the basics and into the nuanced decisions that can make or break the accuracy and depth of your single-cell data analysis. Drawing on real-world experience from dozens of scRNA-seq and ST datasets, Dr. Campbell will offer expert guidance on critical yet under-discussed questions: What QC metrics should you really rely on? How should thresholds be set? Is integration always the right path - and how do you know if it worked?
Attend this webinar to:
- Discover best practices for quality control and thresholding in scRNA-seq and ST datasets
- Learn how to evaluate and refine integration and clustering approaches
- Gain actionable tips and analytical strategies rarely covered in standard tutorials
