@inproceedings{53986f95688d4c02ab25f0d3036c688f,
title = "Identifying characteristic genes based on robust principal component analysis",
abstract = "In this paper, based on robust PCA, a novel method of characteristic genes identification is proposed. In our method, the differentially expressed genes and non-differentially expressed genes are treated as perturbation signals S 0 and low-rank matrix A 0, respectively, which can be recovered from the gene expression data using robust PCA. The scheme to identify the characteristic genes is as following. Firstly, the matrix S 0 of perturbation signals is discovered from gene expression data matrix D by using robust PCA. Secondly, the characteristic genes are selected according to matrix S 0. Finally, the characteristic genes are checked by the tool of Gene Ontology. The experimental results show that our method is efficient and effective.",
keywords = "gene expression data, gene identification, robust PCA",
author = "Zheng, \{Chun Hou\} and Liu, \{Jin Xing\} and Mi, \{Jian Xun\} and Yong Xu",
year = "2012",
doi = "10.1007/978-3-642-31837-5\_25",
language = "英语",
isbn = "9783642318368",
series = "Communications in Computer and Information Science",
pages = "174--179",
booktitle = "Emerging Intelligent Computing Technology and Applications - 8th International Conference, ICIC 2012, Proceedings",
note = "8th International Conference on Emerging Intelligent Computing Technology and Applications, ICIC 2012 ; Conference date: 25-07-2012 Through 29-07-2012",
}