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

Citation

Creator/Principal investigator(s)

Karolina Smolinska Garbulowska - Uppsala University, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics / Science for Life Laboratory, SciLifeLab orcid

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 orcid

Xavier Davoy - The Grenoble Institute of Technology– Phelma

Stephen Omondi Otieno Anyango - Uppsala University, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics

... Show more..

Karolina Smolinska Garbulowska - Uppsala University, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics / Science for Life Laboratory, SciLifeLab orcid

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 orcid

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 orcid

Jan Komorowski - Uppsala University, Swedish Collegium for Advanced Study (SCAS), Department of Cell and Molecular Biology, Computational Biology and Bioinformatics orcid

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Research principal

Uppsala University rorId

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.

... Show more..
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. Show less..

Data contains personal data

No

Language

Method and outcome
Data collection
Geographic coverage
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Identifiers

Topic and keywords

Research area

Bioinformatics and systems biology (Standard för svensk indelning av forskningsämnen 2011)

Publications
Published: 2024-06-24