Network-based prediction of oligodendroglioma driver gene candidates within the region of the 1p/19q co-deletion utilizing single-cell transcriptomes: Data Sets, R-Scripts and regNet Outputs

Data sets, regNet computations, and R-scripts for the performed network-based analysis of single-cell data of oligodendrogliomas The ZIP-file OD-NetworkStudy.zip contains all data sets and R-scripts required to perform the network-based prediction of potential oligodendroglioma driver gene candidates. Further, the learned tumor-specific networks and their corresponding regNet outputs are also included. - Data sets: /OD_NetworkStudy_Zenodo/Data/- R-scripts: /OD_NetworkStudy_Zenodo/RScripts/- Networks: /OD_NetworkStudy_Zenodo/Results/TumorSpecificNetworks/ See /OD_NetworkStudy_Zenodo/RScripts/info_ScriptUsage.txt for general details to the usage of the individual R-scripts. The unpacked ZIP-file-folder requires 7.6 GB on the hard drive. The corresponding R-scripts (/OD_NetworkStudy_Zenodo/RScripts/) are also additionally provided in the small ZIP-file OD-NetworkStudy-RScripts.zip. Data sets, regNet computations, and R-scripts for the performed ground truth simulation study The ZIP-file scOD_regNet_SimulationStudy.zip contains all data sets and R-scripts required to perform the simulation study to test regNet for its ability and performance to learn the correct predictors of genes. Further, the learned simulation study specific networks and their corresponding regNet outputs are also included. - Data sets: /scOD_regNet_SimulationStudy_Zenodo/Data/- R-scripts: /scOD_regNet_SimulationStudy_Zenodo/RScripts/- Networks: /scOD_regNet_SimulationStudy_Zenodo/Results/ See /scOD_regNet_SimulationStudy_Zenodo/RScripts/info_ScriptUsage.txt for general details to the usage of the individual R-scripts. The unpacked ZIP-file-folder requires 112 MB on the hard drive. R package regNet and in-depth documentation The underlying R package regNet is available from https://github.com/seifemi/regNet. Key words: - oligodendrogliomas - computational network-based driver gene candidate prediction - single-cell transcriptomes - 1p/19q co-deletion