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REDUCE is an algorithm for optimal design of gene knock-out (KO) for the purpose of gene regulatory network (GRN) inference.

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REDUCE

REDUCE is an algorithm for optimal design of gene knock-out (KO) for the purpose of gene regulatory network (GRN) inference. Please refer to our manuscript entitled "Optimal design of gene knock-out experiments for gene regulatory network inference" for more details regarding the algorithm. The archive zip file provides MATLAB scripts for REDUCE.

Prerequisites: MATLAB 2014b (also tested on Octave 3.2.4), Python 2.7

Last Update

Date of last modification: 08.10.2015

License

Redistribution and use in source and binary forms, with or without modification, are permitted provided agreeing to the Simplified BSD Style License.

License

Read about Simplified BSD Style License

Download & Installation

Download & unzip the REDUCE.zip

Please use the following reference when using REDUCE

Ud-Dean, SMM., and Gunawan, R. Optimal design of gene knock-out experiments for gene regulatory network inference. Bioinformatics 32 (6): 875-883 (2016). abstract

Acknowledgement

This work is supported by funding from Swiss National Science Foundation.

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REDUCE is an algorithm for optimal design of gene knock-out (KO) for the purpose of gene regulatory network (GRN) inference.

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