Branch: An interactive, web-based tool for testing hypotheses and developing predictive models
This tool addresses the problem of data analysis accessibility for non-programmers in biomedical research, though it is incremental as it applies existing decision tree methods in a new interface.
The paper introduces Branch, a web-based tool that enables non-programmers to interact with large biomedical datasets through a graphical interface for building and evaluating decision trees, facilitating hypothesis testing and predictive model development.
Branch is a web application that provides users with no programming with the ability to interact directly with large biomedical datasets. The interaction is mediated through a collaborative graphical user interface for building and evaluating decision trees. These trees can be used to compose and test sophisticated hypotheses and to develop predictive models. Decision trees are evaluated based on a library of imported datasets and can be stored in a collective area for sharing and re-use. Branch is hosted at http://biobranch.org/ and the open source code is available at http://bitbucket.org/sulab/biobranch/.