Course Content
- Lesson 0: Welcome and Introductions
- Lesson 1: Data Visualization Theory
- Lesson 2: Spatially Resolved Transcriptomic Data
- Lesson 3: Quality Control and Summary Statistics
- Lesson 4: Review and Quiz
- Lesson 5: Principal Components Analysis
- Lesson 6: T-distributed Stochastic Neighbor Embedding
- Lesson 7: Kmeans Clustering
- Lesson 8: Differential Gene Expression
- Lesson 9: Guest Lecture
- Lesson 10: Review and quiz
- Lesson 11: Guest Lecture
- Lesson 12: RNA Velocity
- Lesson 13: Deconvolution
- Lesson 14: Spatial Proteomics and Epigenomics
- Lesson 15: Spatially variable genes
- Lesson 16: Review and quiz
- Lesson 18: Guest Lecture
- Lesson 19: Guest Lecture
- Lesson 20: Final Projects
- Lesson 21: Final Presentations