---
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.
---