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Analyze time-course data with significance tests, clustering, modeling
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...
Simuquant is made to construct and simulate universal quantum circuits. It's GUI enables intuitive access and direct graphical feedback, making it useful in a classroom situation and the like.
Simulation processing is done in parallel, utilizing parallel collections introduced in scala 2.9.
This application has been created as part a bachelor-thesis at the Hamburg University of Applied Sciences. The thesis is available...