SUPPLEMENTARY MATERIAL: VisuNet: an interactive tool for rule network visualization of rule-based learning models SUPPLEMENTARY MATERIAL: VisuNet: an interactive tool for rule network visualization of rule-based learning models 2024-342-1 https://doi.org/10.57804/x4y3-g283 Swedish National Data Service Svensk nationell datatjänst Landing page SUPPLEMENTARY MATERIAL: VisuNet: an interactive tool for rule network visualization of rule-based learning models SUPPLEMENTARY MATERIAL: VisuNet: an interactive tool for rule network visualization of rule-based learning models 2024-342-1 https://doi.org/10.57804/x4y3-g283 Smolinska Garbulowska, Karolina Smolinska Garbulowska, Karolina Garbulowski, Mateusz Garbulowski, Mateusz Diamanti, Klev Diamanti, Klev Davoy, Xavier Davoy, Xavier Anyango, Stephen Omondi Otieno Anyango, Stephen Omondi Otieno Barrenäs, Fredrik Barrenäs, Fredrik Bornelöv, Susanne Bornelöv, Susanne Komorowski, Jan Komorowski, Jan Swedish National Data Service Svensk nationell datatjänst Landing page systems biology systembiologi bioinformatics bioinformatik 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. The dataset was originally published in DiVA and moved to SND in 2024. 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. Access to data through SND. Data are freely accessible. Åtkomst till data via SND. Data är fritt tillgängliga. openAccess