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.

本数据集包含用于验证SimiC方法（一种带有相似性约束的单细胞基因调控网络推断方法）的5000个细胞的5种状态合成表达文件。真实基因调控网络以Numpy数组格式存储，所有状态的表达谱以Pandas DataFrame格式存储于Pickle文件中。