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 (http://cbim.urmc.rochester.edu) under the GPL 3.0 license. This is a fork of that project.

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License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Intended Audience

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

User Interface

Java Swing

Programming Language

Java, S/R, Scala

Related Categories

Java Bio-Informatics Software, Java Information Analysis Software, S/R Bio-Informatics Software, S/R Information Analysis Software, Scala Bio-Informatics Software, Scala Information Analysis Software

Registered

2013-02-19