Published May 5, 2021
| Version v1.draft
Dataset
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Data Availability for Reproducing Experiments from Minicore
Description
This repository contains the datasets required to reproduce experiments from the Minicore paper on fast scRNA-seq clustering.
The data is primarily in CSR-notation, with cells as rows. Data can then be loaded into Python as in https://github.com/dnbaker/minicore-experiments/tree/main/load_lazy.py from minicore-experiments. After setting the MINICORE_DATA environmental variable to the folder containing this data after decompression, you will be able to load data for experiments.
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Additional details
Related works
- Is supplement to
- Preprint: https://www.biorxiv.org/content/10.1101/2021.03.24.436859 (URL)
References
- Cao, et al. A human cell atlas of fetal gene expression. Science 370(6518)(11 2020)
- Cao, et al. The single-cell transcriptionallandscape of mammalian organogenesis. Nature566(7745), 496–502 (02 2019)
- https://support.10xgenomics.com/single-cell-gene-expression/datasets
- Saunders, et al. Molecular Diversity and Specializations among theCells of the Adult Mouse Brain. https://doi.org/10.1016/j.cell.2018.07.028