RapidMic：最大信息系数的快速计算。
RapidMic: Rapid Computation of the Maximal Information Coefficient.
机构信息
Institute of Information Research, Southwest Jiaotong University, Chengdu, China.
School of Mathematics, Southwest Jiaotong University, Chengdu, China.
出版信息
Evol Bioinform Online. 2014 Feb 6;10:11-6. doi: 10.4137/EBO.S13121. eCollection 2014.
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.
摘要
为了在大规模数据集快速发现关系和关联，我们提出了一个基于并行计算方法的最大信息系数快速计算的跨平台工具。通过并行处理，该工具可以有效地分析具有大大减少计算时间的大规模生物数据集。实验结果表明，所提出的工具速度非常快，能够使用普通计算机对大型生物数据集进行全对分析。源代码和指南可从 https://github.com/HelloWorldCN/RapidMic 下载。
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