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Updated: Jul 7, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
On the sparse reconstruction of gene networks
1Institute for Biocomplexity and Informatics, University of Calgary, Calgary, Alberta, Canada. mandrecu@ucalgary.ca
Abstract:
We discuss a heuristic method for the sparse reconstruction of gene networks. The method is based on iterative greedy algorithms, and uses gene expression data from microarray experiments. Also, we show numerically that the greedy algorithms are able to give good approximative solutions to the sparse reconstruction problem even in the presence of significant levels of noise.
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