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The GeneNet algorithm is used to learn genetic regulatory network connectivity from experimental data. It exploits the time series nature of experimental data to allow for better causal predictions on networks with tight feedback.

Contact: Chris Myers (@cjmyers) myers@ece.utah.edu

Installing GeneNet

From source:

If you want to compile GeneNet from source, simply run:

make

This will create a binary called GeneNet in the GeneNet/bin directory.

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