Processed JUMP Datasets: For Web and programmatic exploration.

This dataset provides multiple precomputed analysis tables to make JUMP data exploration accessible: - 'X_features.parquet' contains a ranking of the features that distinguish a given perturbation from negative controls.- 'X_gallery.parquet' is for visualization of the images with all channels collapsed into one.- 'X_cosinesim...parquet' contains the pairwise cosine similarity of all perturbations within a given dataset (i.e., orf, crispr). This allows searching for the closest matches for each perturbation of interest or looking at all relationships in a heatmap.- 'X...significance...parquet' is the statistical significance for the phenotypic activity of a given sample (see broad.io/crispr_feature for a formal definition). It shows which perturbations yielded a phenotype distinguishable from negative controls.- 'full' tables contain all the data points from the resulting analysis. Their non-full counterpart contains a subset comprised of the most significant entries, meant for in-browser consumption and queries. - Many of the above tables can be interactively viewed using [JUMPrr tools](https://github.com/broadinstitute/monorepo/tree/main/libs/jump_rr#quick-data-access)