mouse
Datasets
All datasets matching “mouse”pizza_st_human_mouse_v1_trainPizza_st_human_and_mousemouse-dyad-10Maging-gene-expression-single-cell-mouse
A single-cell transcriptomic atlas characterizes ageing tissues in the mouse
https://www.nature.com/articles/s41586-020-2496-1#Sec2
Code to download and process this dataset is available in: https://github.com/seanome/2025-longevity-x-ai-hackathon
Dataset structure is originally from AnnData.
Descriptions of each data file is below.
Data Files
This dataset contains multiple parquet files, one for each sheet in the original Excel file:… See the full description on the dataset page: https://huggingface.co/datasets/longevity-db/aging-gene-expression-single-cell-mouse.gene-expression-single-cell-mouse
A single-cell transcriptomic atlas characterizes ageing tissues in the mouse
Code to download and process this dataset is available in: https://github.com/seanome/2025-longevity-x-ai-hackathon
Dataset structure is originally from AnnData.
Descriptions of each data file is below.
Data Files
This dataset contains multiple parquet files, one for each sheet in the original Excel file:
gene-expression-single-cell-mouse_*.parquet - Data files containing gene expression and… See the full description on the dataset page: https://huggingface.co/datasets/longevity-db/gene-expression-single-cell-mouse.DeepSTARR-Mouse-datasetDataset Summary
This dataset was used for training the DeepSTARR-Mouse model for predicting chromatin accessibility and enhancer activity.
Source Data
Sequences were derived from Gorkin et al., Nature (2020) (https://doi.org/10.1038/s41586-020-2093-3) and the VISTA Enhancer Browser (https://enhancer.lbl.gov/). The data were further processed to generate tissue-specific activity and accessibility annotations.
License
CC BY 4.0 (Attribution required). For research use only.
Intended Use
This… See the full description on the dataset page: https://huggingface.co/datasets/Shenzhi-Chen/DeepSTARR-Mouse-dataset.