| { |
| "READY": true, |
| "name": "sc_dentategyrus_latenttime", |
| "task": "regression", |
| "cat_idx": [], |
| "num_samples": 5780, |
| "num_features": 2000, |
| "description": "Single-cell RNA-seq data from the developing mouse dentate gyrus (P12 and P35) measured with 10x Genomics Chromium. The dentate gyrus is part of the hippocampus involved in learning, episodic memory and spatial coding. The dataset captures the granule cell lineage \u2014 neuroblasts differentiating into granule cells \u2014 as well as distinct cell types such as Cajal-Retzius and GABA cells. The task is to predict the latent time (pseudotime) of each cell along the transcriptomic differentiation trajectory, inferred from RNA velocity dynamics.", |
| "source": "Data from [Hochgerner et al., 2018] - downloaded with scvelo.datasets.dentategyrus()", |
| "label": "Single-Cell", |
| "sub_labels": [ |
| "RNA-seq", |
| "Dynamic Transcriptomics" |
| ] |
| } |
