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Analyze time-course data with significance tests, clustering, modeling

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Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included.

Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional currently.

The app was and is developed at the University of Rochester ( under the GPL 3.0 license. This is a fork of that project.

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Additional Project Details

Intended Audience

Science/Research, Advanced End Users, End Users/Desktop

User Interface

Java Swing

Programming Language

Java, S/R, Scala



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