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A New Algorithm to Optimize Maximal Information Coefficient

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成果类型:
期刊论文
作者:
Chen, Yuan;Zeng, Ying;Luo, Feng*;Yuan, Zheming*
通讯作者:
Luo, Feng;Yuan, Zheming
作者机构:
[Luo, Feng; Chen, Yuan; Yuan, Zheming; Luo, F; Yuan, ZM] Hunan Agr Univ, Hunan Prov Key Lab Biol & Control Plant Dis & Ins, Changsha, Hunan, Peoples R China.
[Zeng, Ying] Hunan Agr Univ, Orient Sci & Technol Coll, Changsha, Hunan, Peoples R China.
[Luo, Feng] Hunan Agr Univ, Coll Plant Protect, Changsha, Hunan, Peoples R China.
[Luo, Feng] Clemson Univ, Sch Comp, Clemson, SC 29634 USA.
[Yuan, Zheming] Hunan Agr Univ, Hunan Prov Key Lab Germplasm Innovat & Utilizat C, Changsha, Hunan, Peoples R China.
通讯机构:
[Luo, F; Yuan, ZM; Luo, Feng; Yuan, Zheming] H
[Luo, Feng] C
Hunan Agr Univ, Hunan Prov Key Lab Biol & Control Plant Dis & Ins, Changsha, Hunan, Peoples R China.
Hunan Agr Univ, Coll Plant Protect, Changsha, Hunan, Peoples R China.
Clemson Univ, Sch Comp, Clemson, SC 29634 USA.
语种:
英文
关键词:
Algorithms;Chi square tests;Fractals;Radii;Contingency tables;Microarrays;Optimization;Breast cancer
期刊:
PLOS ONE
ISSN:
1932-6203
年:
2016
卷:
11
期:
6
页码:
e0157567-null
基金类别:
Doctoral Foundation of Ministry of Education of ChinaMinistry of Education, China [20124320110002]; Science and Technology Planning Projects of Changsha, China [K1406018-21]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31471789]
机构署名:
本校为第一且通讯机构
院系归属:
植物保护学院
东方科技学院
摘要:
The maximal information coefficient (MIC) captures dependences between paired variables, including both functional and non-functional relationships. In this paper, we develop a new method, ChiMIC, to calculate the MIC values. The ChiMIC algorithm uses the chi-square test to terminate grid optimization and then removes the restriction of maximal grid size limitation of original ApproxMaxMI algorithm. Computational experiments show that ChiMIC algorithm can maintain same MIC values for noiseless functional relationships, but gives much smaller MIC values for independent variables. For noise func...

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