A novel approach for predicting DNA splice junctions using hybrid machine learning algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-014-1550-z.pdf
Reference65 articles.
1. Ahila R, Sadasivam V (2014) Performance enhancement of extreme learning machine for power system disturbances classification. Soft Comput 18(2):239–253. doi: 10.1007/s00500-013-1051-5 . http://www.scopus.com/inward/record.url?eid=2-s2.0-84892665519&partnerID=40&md5=cee0b3339000b0dac9b920d8f8eb4b98
2. Alaei HK, Salahshoor K, Alaei HK (2013) A new integrated on-line fuzzy clustering and segmentation methodology with adaptive PCA approach for process monitoring and fault detection and diagnosis. Soft Comput 17(3):345–362. doi: 10.1007/s00500-012-0910-9 . http://www.scopus.com/inward/record.url?eid=2-s2.0-84873745848&partnerID=40&md5=d32b3b8e7305d696e9cd2113e2f3848f
3. Ali KM, Pazzani MJ (1996) Error reduction through learning multiple descriptions. Mach Learn 24(3):173–202. http://www.scopus.com/inward/record.url?eid=2-s2.0-0030235637&partnerID=40&md5=27f20e10782fda3667ba606f4a7a753a
4. Baten AKMA, Chang BCH, Halgamuge SK, Li J (2006) Splice site identification using probabilistic parameters and SVM classification. BMC Bioinf 7(SUPPL. 5), art. no. S15. doi: 10.1186/1471-2105-7-S5-S15
5. Biedrzycki R, Arabas J (2012) Kis: an automated attribute induction method for classification of DNA sequences. Int J Appl Math Comput Sci 22(3):711–721. doi: 10.2478/v10006-012-0053-2
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Deep Learning Algorithms for Accurate Prediction of Image Description for E-commerce Industry;Data Management, Analytics and Innovation;2019-09-25
2. Splice Junction Prediction in DNA Sequence Using Multilayered RNN Model;Learning and Analytics in Intelligent Systems;2019-07-13
3. Balancing Performance Measures in Classification Using Ensemble Learning Methods;Business Information Systems;2019
4. HMM-based predictive model for enhancing data quality in WSN;International Journal of Computers and Applications;2017-11-14
5. Integration of classifier diversity measures for feature selection-based classifier ensemble reduction;Soft Computing;2015-11-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3