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Compute·genomics
SCENE Joint Embedding of Cells and Genes
Fit SCENE (Single-Cell Euclidean Network Embedding, Møberg et al. 2026, MIT) on a single-cell RNA-seq dataset: cells and genes land in one Euclidean space where the cell–gene distance enters the count model directly, so proximity means expression and the space can be read off a plot. Runs on CPU in the Cortexa sandbox on an .h5ad with raw UMI counts (public URL or Library file), subsampled to about 10k cells and 2k highly variable genes. Returns nearest genes per cell population, nearest populations per gene of interest, cell and gene coordinates as CSV, a joint figure and a replayable code cell.
AvailableCortexa compute
Schema
JSON Schema the agent (or your API call) must match.
View JSON schemaExpandCollapse
JSON · 62 lines · 1,167 chars
Examples (1)
PBMC 3k with cluster labels
input
JSON · 9 lines · 156 chars
Expected response keys: ok, nearestGenes, caveats
Identifiers
- Catalog ID
- embed_single_cell_scene
- Compute job
- embed_single_cell_scene
- Added
- 2026-09-20 05:32Z
- Tags
- genomics, single-cell, embedding, code, auth