Skip to main content

Beta This lesson is in the beta phase, which means that it is ready for teaching by instructors outside of the original author team.

Spatial Transcriptomics

Spatial Transcriptomics
Key Points
Instructor Notes
Extract All Images
- Reference

Search the All In One page

Spatial Transcriptomics

%

Learner View

EPISODES

Summary and Schedule

1. Spatially Resolved Transcriptomics in Life Sciences Research

2. Data and Study Design

3. Data Preprocessing

4. Remove Low-quality Spots

5. Normalization in Spatial Transcriptomics

6. Feature Selection, Dimensionality Reduction, and Spot Clustering

7. Deconvolution in Spatial Transcriptomics

8. Differential Expression Testing

9. Putting it all Together

Key Points
Instructor Notes
Extract All Images

Reference

See all in one page

Learner Profiles

This is a placeholder file. Please add content here.

This lesson is subject to the Code of Conduct

Edit on GitHub | Contributing | Source

Cite | Contact | About

Materials licensed under CC-BY 4.0 by the authors

Template licensed under CC-BY 4.0 by The Carpentries

Built with sandpaper (0.16.11), pegboard (0.7.9), and varnish (1.0.5)