visual_behavior_analysis
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Paper revisions collaboration with Marina
Iryna's main priorities:
- area and depth analysis for all cre lines
most of the code that is used for area and depth analysis is in GLM repo, cluster module
- selecting number of clusters
I tried doing F-test, jupyter notebook attached. The results of this test were interpretable but the optimal N was slightly off from what we have seen with testing different N. We found that 12 clusters produced consistent interpretable results while F-test suggested 13+ clusters which leads to very small clusters (<10 cells).
Marina has worked on the tasks below:
- shuffle controls for all cre clusters
- clustering on folds of GLM
- familiar only vs novel clusters
PR that included optimal K cluster testing : https://github.com/AllenInstitute/visual_behavior_analysis/pull/841