4 ms·

This is really useful thanks for sharing. My students and myself tend to waste a lot of time annotating clusters and have not found a reasonable solution yet. T

by gww 2y ago

This is really useful thanks for sharing. My students and myself tend to waste a lot of time annotating clusters and have not found a reasonable solution yet. This will be fun to try.

celltalk 2y ago
Thank you. Hope it is useful!
- gww 2y ago
  Could this also be adapted for gene set enrichment? For example, if I had a set(s) of genes from an ATAC-seq experiment would it be able to guess their function / cell types?
  - celltalk 2y ago
    It should be okay if you edit the base prompt properly.
    - gww 2y ago
      Cool thanks
codingfisch 2y ago
I have written a neural network architecture (way smaller than llama) that can be trained to automate this process. Check out the Custom-Data-Tutorial in the repo! GitHub: https://github.com/wwu-mmll/gatenet https://github.com/wwu-mmll/gatenet Paper: https://www.sciencedirect.com/science/article/pii/S0010482524009053 https://www.sciencedirect.com/science/article/pii/S001048252...
- gww 2y ago
  Will check it out. Thanks a lot