SUPPLEMENTARY MATERIAL: VisuNet: an interactive tool for rule network visualization of rule-based learning models
SND-ID: 2024-342. Version: 1. DOI: https://doi.org/10.57804/x4y3-g283
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Creator/Principal investigator(s)
Karolina Smolinska Garbulowska
- Uppsala University, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics / Science for Life Laboratory, SciLifeLab
Mateusz Garbulowski - Uppsala University, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics
Klev Diamanti
- Uppsala University, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics, Department of Immunology, Genetics and Pathology / Science for Life Laboratory, SciLifeLab
Xavier Davoy - The Grenoble Institute of Technology– Phelma
Stephen Omondi Otieno Anyango - Uppsala University, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics
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Karolina Smolinska Garbulowska
- Uppsala University, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics / Science for Life Laboratory, SciLifeLab
Mateusz Garbulowski - Uppsala University, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics
Klev Diamanti
- Uppsala University, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics, Department of Immunology, Genetics and Pathology / Science for Life Laboratory, SciLifeLab
Xavier Davoy - The Grenoble Institute of Technology– Phelma
Stephen Omondi Otieno Anyango - Uppsala University, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics
Fredrik Barrenäs - Uppsala University, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics
Susanne Bornelöv
- Uppsala University / University of Cambridge, Department of Medical Biochemistry and Microbiology, Department of Cell and Molecular Biology / Cancer Research UK Cambridge Institute
Jan Komorowski
- Uppsala University, Swedish Collegium for Advanced Study (SCAS), Department of Cell and Molecular Biology, Computational Biology and Bioinformatics
Research principal
Description
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 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. Show less..
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Research area
Bioinformatics and systems biology (Standard för svensk indelning av forskningsämnen 2011)
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