Single Cell Analysis in Computational Biology - Lecture 3

Single Cell Analysis in Computational Biology - Lecture 3

Manolis Kellis via YouTube Direct link

Linked Regions Correlation

15 of 18

15 of 18

Linked Regions Correlation

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Classroom Contents

Single Cell Analysis in Computational Biology - Lecture 3

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  1. 1 Intro
  2. 2 Bulk vs. Single-Cell
  3. 3 Why Single Cells
  4. 4 scRNA-seq Technologies
  5. 5 scRNA-seq Biological Questions
  6. 6 84k cells from 48 individuals
  7. 7 Cleaning up Data
  8. 8 Clustering and Cell Annotation
  9. 9 DEGs Gene Expression Changes with Phenotypes
  10. 10 Multi-Region Analysis
  11. 11 Module Analysis
  12. 12 Q1: Why Modules instead of single-genes
  13. 13 Q2: Difference from Bulk
  14. 14 Q3: Robustness and Reproducibility
  15. 15 Linked Regions Correlation
  16. 16 Discrepancies between Phenotype and Transcriptome
  17. 17 scRNA-seq Analysis Questions
  18. 18 Cell-Projected Phenotypes

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