Informative top-k class associative rule for cancer biomarker discovery on microarray data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Informative top-k class associative rule for cancer biomarker discovery on microarray data

Published:2020-05 Issue: Volume:146 Page:113169
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Ong Huey Fang^ORCID,Mustapha Norwati,Hamdan Hazlina,Rosli Rozita,Mustapha Aida^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference63 articles.

1. Analysis of gene microarray data using association rule mining;Agrawal;Journal of Computing,2012

2. Co-ABC: Correlation artificial bee colony algorithm for biomarker gene discovery using gene expression profile;Alshamlan;Saudi Journal of Biological Sciences,2018

3. SVM-based association rules for knowledge discovery and classification;Anaissi,2015

4. Cancer biomarkers - current perspectives;Bhatt;Indian Journal of Medical Research,2010

5. Feature selection in DNA microarray classification;Bolón-Canedo,2015

Cited by 9 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. A two-phase cuckoo search based approach for gene selection and deep learning classification of cancer disease using gene expression data with a novel fitness function;Multimedia Tools and Applications;2024-02-06

2. Deep learning approach for brain tumor classification using metaheuristic optimization with gene expression data;International Journal of Imaging Systems and Technology;2023-12-16

3. A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection;BMC Bioinformatics;2023-12-15

4. Real-Time Data Mining-Based Cancer Disease Classification Using KEGG Gene Dataset;Advanced Technologies and Societal Change;2023

5. Information-Based Rule Ranking for Associative Classification;2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS);2022-11-22

同舟云学术

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