Synthetic datasets for SimiC
Dataset Description |
This is the 5 states 5000 cells synthetic expression file we used for validation of SimiC, a single cell gene regulatory network inference method with similarity constraints. Ground truth GRNs are stored in Numpy array format, and expression profiles of all states combined are stored in Pandas DataFrame in format of Pickle files. |
Subject |
Life Sciences |
Keywords |
Numpy array; GRNs; Pandas DataFrame; |
License |
CC0 |
Corresponding Creator |
Ochoa Idoia |
Downloaded |
387 times |
| Version | DOI | Comment | Publication Date |
|---|---|---|---|
| 1 | 10.13012/B2IDB-4996748_V1 | 2021-10-15 |
Contact the Research Data Service for help interpreting this log.
| RelatedMaterial | create: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://doi.org/10.1038/s42003-022-03319-7", "uri"=>"10.1038/s42003-022-03319-7", "uri_type"=>"DOI", "citation"=>"Peng, J., Serrano, G., Traniello, I.M. et al. SimiC enables the inference of complex gene regulatory dynamics across cell phenotypes. Commun Biol 5, 351 (2022). https://doi.org/10.1038/s42003-022-03319-7", "dataset_id"=>1744, "selected_type"=>"Article", "datacite_list"=>"IsSupplementTo"} | 2022-04-15T20:12:52Z |