Improving hit @k

[michaelbornholdt]

@shntnu @niranjchandrasekaran @gwaygenomics

Here is my first version of an analysis of the LINCS data. Please read and give ideas for improvement.
https://github.com/broadinstitute/neural-profiling/blob/main/hit_k/lincs_ana.ipynb

• How should the plot look like, do we only care about the first hit?
• How can I improve the randomization to get a more stable
• Should we split up the analysis into MOAs with large number of Compounds and those with less?

[michaelbornholdt]

@AnneCarpenter This is what Shantanu mentioned in the today's checkup meeting

[gwaybio]

from my perspective, that data frame in Cell 9 is all I need (except for L1000 data too). I also like the simplicity of the plot. I don't have any other ideas for improvement

[michaelbornholdt]

@gwaygenomics
https://github.com/broadinstitute/neural-profiling/blob/main/hit_k/for_greg.ipynb