A Novel Algorithm for the Precise Calculation of the Maximal Information Coefficient

作者：Zhang Yi^*; Jia Shili; Huang Haiyun; Qiu Jiqing; Zhou Changjie

来源：Scientific Reports, 2014, 4(1): 6662.

DOI：10.1038/srep06662

Measuring associations is an important scientific task. A novel measurement method maximal information coefficient (MIC) was proposed to identify a broad class of associations. As foreseen by its authors, MIC implementation algorithm ApproxMaxMI is not always convergent to real MIC values. An algorithm called SG (Simulated annealing and Genetic) was developed to facilitate the optimal calculation of MIC, and the convergence of SG was proved based on Markov theory. When run on fruit fly data set including 1,000,000 pairs of gene expression profiles, the mean squared difference between SG and the exhaustive algorithm is 0.00075499, compared with 0.1834 in the case of ApproxMaxMI. The software SGMIC and its manual are freely available at http://lxy.depart.hebust.edu.cn/SGMIC/htm.

• 出版日期2014-10-17
• 单位河北科技大学