ArticleBMC bioinformatics2014
Ciruvis: a web-based tool for rule networks and interaction detection using rule-based classifiers.
Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Genetic interactions effects for cancer disease identification using computational models: a review.Medical & biological engineering & computing · 2021Review
- R.ROSETTA: an interpretable machine learning framework.BMC bioinformatics · 2021Article
- Identification of the copy number variant biomarkers for breast cancer subtypes.Molecular genetics and genomics : MGG · 2019Article
- Primary Tumor Site Specificity is Preserved in Patient-Derived Tumor Xenograft Models.Frontiers in genetics · 2019Article
- Article
- Data- and expert-driven rule induction and filtering framework for functional interpretation and description of gene sets.Journal of biomedical semantics · 2017Article
- Combinatorial identification of DNA methylation patterns over age in the human brain.BMC bioinformatics · 2016Article
- Identification of combinatorial host-specific signatures with a potential to affect host adaptation in influenza A H1N1 and H3N2 subtypes.BMC genomics · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of classification algorithms is becoming increasingly important for the field of computational biology. However, not only the quality of the classification, but also its biological interpretation is important. This interpretation may be eased if interacting elements can be identified and visualized, something that requires appropriate tools and methods.
resultsWe developed a new approach to detecting interactions in complex systems based on classification. Using rule-based classifiers, we previously proposed a rule network visualization strategy that may be applied as a heuristic for finding interactions. We now complement this work with Ciruvis, a web-based tool for the construction of rule networks from classifiers made of IF-THEN rules. Simulated and biological data served as an illustration of how the tool may be used to visualize and interpret classifiers. Furthermore, we used the rule networks to identify feature interactions, compared them to alternative methods, and computationally validated the findings.
conclusionsRule networks enable a fast method for model visualization and provide an exploratory heuristic to interaction detection. The tool is made freely available on the web and may thus be used to aid and improve rule-based classification.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.