Synthetic datasets for SimiC

  • Peng Jianhao (Creator)
  • Ochoa Idoia (Creator)

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.
Date made availableOct 15 2021
PublisherUniversity of Illinois at Urbana-Champaign

Keywords

  • GRNs
  • Numpy array
  • Pandas DataFrame

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