SUPPLEMENTARY MATERIAL: VisuNet: an interactive tool for rule network visualization of rule-based learning models

The data consists of a pdf file with visualizations and an excel file with following tables: - Table S1 The overview of applications. - Table S2 SFARI result for 4 genes overlapped the rule-network of case-control study of autism and the SFARI genes databese. - Table S3 GO over-representation results for the rule-network of case-control study of autism. - Table S4 Full list of variables used for the rule-based machine learning schema. The list includesmetabolites and pools of metabolites. - Table S5 List of rules for the R.ROSETTA model including support, accuracy and BH-corrected p-value for each rule. Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.