10.13012/B2IDB-4996748_V1
Synthetic datasets for SimiC
Jianhao, Peng
Peng
Jianhao
University of Illinois
Idoia, Ochoa
Ochoa
Idoia
University of Illinois
Idoia, Ochoa
Ochoa
Idoia
University of Illinois at Urbana-Champaign
2021
Dataset
Numpy array
GRNs
Pandas DataFrame
2021-10-15
1
CC0 1.0 Universal Public Domain Dedication (CC0 1.0)
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.
10.1038/s42003-022-03319-7
https://github.com/jianhao2016/simicLASSO_git
10.1101/2020.04.03.023002