ArticleEvolutionary bioinformatics online2014
RapidMic: Rapid Computation of the Maximal Information Coefficient.
Article in Evolutionary bioinformatics online, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- An efficient, not-only-linear correlation coefficient based on clustering.Cell systems · 2024Article
- A hybrid feature selection algorithm and its application in bioinformatics.PeerJ. Computer science · 2022Article
- Efficient Computation of Functional Brain Networks: toward Real-Time Functional Connectivity.Frontiers in neuroinformatics · 2017Article
- A New Algorithm to Optimize Maximal Information Coefficient.PloS one · 2016Article
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Authors and funding
4 authors.
Funding
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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 from https://github.com/HelloWorldCN/RapidMic.
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Registered trials
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