RapidMic: Rapid Computation of the Maximal Information Coefficient. (January 2014)

• Record Type: Journal Article
• Authors: Tang, Dongming; Wang, Mingwen; Zheng, Weifan; Wang, Hongjun
• Is Part Of: Evolutionary bioinformatics online. Volume 10(2014)
• Publication Date: 2014-01
• Subjects: algorithms -- gene expression -- software -- computational biology -- statistical analysis; Bioinformatics -- Periodicals; Evolutionary computation -- Periodicals; Genetic programming (Computer science) -- Periodicals; Computational Biology; Evolution, Molecular; Bioinformatics; Electronic journals; Periodicals; Fulltext; Internet Resources; Periodicals; Periodicals; 576.8
• DOI: 10.4137/EBO.S13121
• Languages: English
• ISSNs: 1176-9343

Abstract

To discover relationships and associations rapidly in large-scale datasets, we propose a cross-platform tool for the rapid computation of the maximal information coefficient based on parallel computing methods. Through parallel processing, the provided tool can effectively analyze large-scale biological datasets with a markedly reduced computing time. The experimental results show that the proposed tool is notably fast, and is able to perform an all-pairs analysis of a large biological dataset using a normal computer. The source code and guidelines can be downloaded fromhttps://github.com/HelloWorldCN/RapidMic .