Datasets:
| license: cdla-permissive-2.0 | |
| task_categories: | |
| - tabular-regression | |
| pretty_name: sc_bonemarrow_velocity_umap | |
| tags: | |
| - tabular | |
| - singlecell | |
| - multiregression | |
| - Biomedical | |
| - Benchmark | |
| - rna-seq | |
| - dynamic-transcriptomics | |
| configs: | |
| - config_name: sc_bonemarrow_velocity_umap | |
| 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 human bone marrow during haematopoiesis. | |
| The bone marrow is the primary site of blood cell production, composed of haematopoietic | |
| cells, marrow adipose tissue and supportive stromal cells. The dataset was used | |
| to detect key landmarks of haematopoietic differentiation and to identify transcription | |
| factors driving lineage fate choice. The task is to predict the RNA velocity vector | |
| of each cell projected onto the UMAP embedding, reflecting the direction and speed | |
| of transcriptional change. | |