Ciruvis: a web-based tool for rule networks and interaction detection using rule-based classifiers.

ABSTRACT:

Background

The 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.

Results

We 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 b

SUBMITTER: Bornelov S 

PROVIDER: S-EPMC4030460 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature