@inproceedings{d38c4f033ff542d4a63c5d13b0d543e6,
title = "Sequential pattern mining for protein function prediction",
abstract = "The prediction of protein sequence function is one of the problems arising in the recent progress in bioinformatics. Traditional methods have its limits. We present a novel method of protein sequence function prediction based on sequential pattern mining. First, we use our designed sequential pattern mining algorithms to mine known function sequence dataset. Then, we build a classifier using the patterns generated to predict function of protein sequences. Experiments confirm the effectiveness of our method.",
keywords = "Frequent closed pattern, Frequent pattern classifier, Frequent pattern mining, Protein function prediction",
author = "Miao Wang and Shang, {Xue Qun} and Li, {Zhan Huai}",
year = "2008",
doi = "10.1007/978-3-540-88192-6_68",
language = "英语",
isbn = "3540881913",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "652--658",
booktitle = "Advanced Data Mining and Applications - 4th International Conference, ADMA 2008, Proceedings",
note = "4th International Conference on Advanced Data Mining and Applications, ADMA 2008 ; Conference date: 08-10-2008 Through 10-10-2008",
}