Replication data for: "Gene Regulatory Network Inference Methodology for Genomic and Transcriptomic Data Acquired in Genetically Related Heterozygote Individuals", 100 simulated datasets of RNA gene expressions of sunflower hybrids

Replication data for: "Gene regulatory network inference methodology for genomic and transcriptomic data acquired in genetically related heterozygote individuals": 100 simulated datasets of RNA gene expressions of sunflower hybrids. This data set includes the 100 simulated datasets that have been used in the paper "Gene regulatory network inference methodology for genomic and transcriptomic data acquired in genetically related heterozygote individuals", Bioinformatics, 2022, https://doi.org/10.1093/bioinformatics/btac445 They are artificial expression datasets created with the data simulator SysGenSIM (modified) from the same gene regulatory network: artificialDataSet_network.csv. The files that have been used to generate the 100 expression datasets are also included (activation/repression sign networkSign and heterosis effect zMatrix directories). The "networks" directory contains the learned networks. The network inference method can be found here. For the description of the files, and the dimensions, see README.txt.