Synthetic datasets for SimiC

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.

本数据集为用于验证SimiC的5状态、5000个细胞合成表达文件，SimiC是一种带有相似度约束的单细胞基因调控网络推断方法。真实基准基因调控网络（Gene Regulatory Network，GRN）以NumPy数组格式存储，所有状态合并后的基因表达谱以Pickle文件格式存储为Pandas数据框。