Datasets:
| license: cdla-permissive-2.0 | |
| task_categories: | |
| - tabular-regression | |
| pretty_name: sc_dentategyrus_latenttime | |
| tags: | |
| - tabular | |
| - singlecell | |
| - regression | |
| - Biomedical | |
| - Benchmark | |
| - rna-seq | |
| - dynamic-transcriptomics | |
| configs: | |
| - config_name: sc_dentategyrus_latenttime | |
| data_files: | |
| - split: train | |
| path: data/train.parquet | |
| - split: validation | |
| path: data/val.parquet | |
| - split: test | |
| path: data/test.parquet | |
| dataset_info: | |
| 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 — neuroblasts differentiating into granule cells | |
| — 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. | |