@inproceedings{957d52e8feb9407984392b7107d62add,
title = "Novel H/ACA box snoRNA mining and secondary structure prediction algorithms",
abstract = "In this paper we propose a novel H/ACA box snoRNA gene mining algorithm, which is based on ensemble learning and a special secondary structure prediction algorithm. Three contributions are made to improve current mining methods, including enriching the negative training set, using the ensemble classifiers for the class imbalance data, and developing a special secondary structure prediction algorithm for extracting features with high quality. The performance of learning method is proved by cross validation and the mining method is proved by the experiments on genome data.",
keywords = "Bioinformatics, Ensemble learning, Gene mining, H/ACA box snoRNA, MFE (Minimum Free Energy)",
author = "Quan Zou and Maozu Guo and Chunyu Wang and Yingpeng Han and Wenbin Li",
year = "2009",
doi = "10.1007/978-3-642-02962-2\_68",
language = "英语",
isbn = "3642029612",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "538--546",
booktitle = "Rough Sets and Knowledge Technology - 4th International Conference, RSKT 2009, Proceedings",
note = "4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009 ; Conference date: 14-07-2009 Through 16-07-2009",
}