Course Content
- Lesson 0: Welcome and Introductions
- Lesson 1: Data Visualization Theory
- Lesson 2: Spatially Resolved Transcriptomic Data
- Lesson 3: Review and Quiz
- Lesson 4: Principal Components Analysis
- Lesson 5: T-distributed Stochastic Neighbor Embedding
- Lesson 6: Kmeans Clustering
- Lesson 7: Differential Gene Expression
- Lesson 8: Review and quiz
- Lesson 9: RNA Velocity
- Lesson 10: Spatially variable genes
- Lesson 11: Deconvolution
- Lesson 12: Spatial Proteomics
- Lesson 13: Spatial Epigenomics
- Lesson 14: Review and quiz
- Lesson 15: Guest Lecture
- Lesson 16: Guest Lecture
- Lesson 17: Guest Lecture
- Lesson 18: Guest Lecture
- Lesson 19: Guest Lecture
- Lesson 20: Guest Lecture
- Lesson 21: Final Presentations