Branch: An interactive, web-based tool for testing hypotheses and developing predictive models

TL;DR

Branch is an interactive web-based tool that enables users without programming skills to build, evaluate, and share decision tree models on large biomedical datasets through a user-friendly graphical interface.

Contribution

It introduces a collaborative web application for constructing and testing decision trees without programming, facilitating hypothesis testing and model development in biomedicine.

Findings

Supports large biomedical datasets

Enables sharing and re-use of decision trees

Accessible via web with open source code

Abstract

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/.