微阵列数据特征选择的模因算法

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#引用

##LaTex

@inproceedings{Zhu:2007:MAF:1418707.1418870,
author = {Zhu, Zexuan and Ong, Yew-Soon},
title = {Memetic Algorithms for Feature Selection on Microarray Data},
booktitle = {Proceedings of the 4th International Symposium on Neural Networks: Advances in Neural Networks},
series = {ISNN '07},
year = {2007},
isbn = {978-3-540-72382-0},
location = {Nanjing, China},
pages = {1327–1335},
numpages = {9},
url = {http://dx.doi.org/10.1007/978-3-540-72383-7_155},
doi = {10.1007/978-3-540-72383-7_155},
acmid = {1418870},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
}

##Normal

Zexuan Zhu and Yew-Soon Ong. 2007. Memetic Algorithms for Feature Selection on Microarray Data. In Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks (ISNN '07), Derong Liu, Shumin Fei, Zeng-Guang Hou, Huaguang Zhang, and Changyin Sun (Eds.). Springer-Verlag, Berlin, Heidelberg, 1327-1335. DOI=http://dx.doi.org/10.1007/978-3-540-72383-7_155

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#摘要

two novel memetic algorithms (MAs)

synergies of Genetic Algorithm (wrapper methods) and local search methods (¯lter methods) under a memetic framework

1. Wrapper-Filter Feature Selection Algorithm (WFFSA)
2. Markov Blanket-Embedded Genetic Algorithm (MBEGA)

not significantly statistically di®erent
MBEGA is observed to converge to more compact gene subsets than WFFSA

more suitable gene subset

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#主要内容

microarray technology
microarray data

a balanced .632+ external bootstrap
【1】C. Ambroise, G. McLachlan, Selection bias in gene extraction on the basis of microarray gene-expression data, Proc. Natl. Sci. USA 99 (2002) 6562–6566.

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