@inproceedings{147addf7549546ba83973daf34701eb4,
title = "Mining maximal local conserved gene clusters from microarray data",
abstract = "In this paper, we explore a novel type of gene cluster called local conserved gene cluster or LC-Cluster for short. A gene's expression level is local conserved if it is expressed with the similar abundance only on a subset of conditions instead of on all the conditions. A subset of genes which are simultaneously local conserved across the same subset of samples form an LC-Cluster, where the samples correspond to some phenotype and the genes suggest all candidates related to the phenotype. Two efficient algorithms, namely FALCONER and E-FALCONER, are proposed to mine the complete set of maximal LC-Clusters. The test results from both real and synthetic datasets confirm the effectiveness and efficiency of our approaches.",
author = "Yuhai Zhao and Guoren Wang and G. Yin and Guangyu Xu",
year = "2006",
doi = "10.1007/11811305_39",
language = "English",
isbn = "3540370250",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "356--363",
editor = "Xue Li and Za{\"i}ane, {Osmar R.} and Zhanhuai Li",
booktitle = "Advanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings",
address = "Germany",
note = "2nd International Conference on Advanced Data Mining and Applications, ADMA 2006 ; Conference date: 14-08-2006 Through 16-08-2006",
}