metadata
pretty_name: PRIMO blind benchmark inputs
license: other
PRIMO public inputs
Blind expression inputs for the PRIMO patient-representation benchmark.
datasets.yaml lists opaque ids, modalities, paths, and dimensions; clinical
targets, provenance, donor ids, and cohort metadata remain private.
Each <dataset_id>/expression.h5ad stores raw counts in X, NCBI Gene IDs in
var_names, and symbols in var["gene_symbols"].
- Bulk RNA files have samples as rows and opaque sample ids in
obs_names. - Single-cell RNA files are sparse and have cells as rows. Cell ids in
obs_namesare opaque. Their onlyobscolumn issample_id, an opaque collection-sample id shared by cells from the same prediction unit.
Each submission covers one selected modality. Submissions are sample-level:
produce one embedding per unique obs["sample_id"], with repeated collection
timepoints kept separate.
The standalone quickstart in the
PRIMO evaluator Space
shows the modality-specific download and submission flow. Its single-cell example
applies per-cell
log2(CP10K + 1), mean-pools by sample_id, then runs sample-level PCA.