Rank marker genes using Wilcoxon rank-sum and logistic regression methods
1
1
Pretty plots
6/8
Exercise
Points Possible
Grade
UMAP/t-SNE multi-panel plots from step 1.3
2
2
Wilcoxon-based rank_genes_groups plot from step 2.2
1
1
Logreg-based rank_genes_groups plot from step 2.2
1
1
Chosen support plot from step 3.2
2
0
Final labeled UMAP or t-SNE plot from step 3.3
2
2
Total: 8/10
Good work! For full credit:
Step 3.2: The support plots should show the expression of your selected marker genes across the clusters, so we can see how you're matching a cluster with a specific cell type. To do this with t-SNE plots, you can color the plots with gene names instead of using "leiden".
Python script with all code for the assignment
2/2
Pretty plots
6/8
Total: 8/10
Good work! For full credit: