Discovery of potential biomarkers for lung cancer classification based on human proteome microarrays using Stochastic Gradient Boosting approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Discovery of potential biomarkers for lung cancer classification based on human proteome microarrays using Stochastic Gradient Boosting approach

Published:2023-02-18 Issue:10 Volume:149 Page:6803-6812
ISSN:0171-5216
Container-title:Journal of Cancer Research and Clinical Oncology
language:en
Short-container-title:J Cancer Res Clin Oncol

Author:

Yao Ning,Pan Jianbo,Chen Xicheng,Li Pengpeng,Li Yang,Wang Zhenyan,Yao Tianhua,Qian Li,Yi Dong,Wu Yazhou

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00432-023-04643-z.pdf

Reference40 articles.

1. Abdulla M, Khasawneh MT (2020) G-Forest: An ensemble method for cost-sensitive feature selection in gene expression microarrays. Artif Intell Med 108:101941. https://doi.org/10.1016/j.artmed.2020.101941

2. Assawamakin A, Prueksaaroon S, Kulawonganunchai S, Shaw PJ, Varavithya V, Ruangrajitpakorn T, Tongsima S (2013) Biomarker selection and classification of “-omics” data using a two-step bayes classification framework. Biomed Res Int. https://doi.org/10.1155/2013/148014

3. Azadifar S, Rostami M, Berahmand K, Moradi P, Oussalah M (2022) Graph-based relevancy-redundancy gene selection method for cancer diagnosis. Comput Biol Med 147:105766. https://doi.org/10.1016/j.compbiomed.2022.105766

4. Cai Z, Xu D, Zhang Q, Zhang J, Ngai SM, Shao J (2015) Classification of lung cancer using ensemble-based feature selection and machine learning methods. Mol Biosyst 11(3):791–800. https://doi.org/10.1039/c4mb00659c

5. Desmetz C, Mange A, Maudelonde T, Solassol J (2011) Autoantibody signatures: progress and perspectives for early cancer detection. J Cell Mol Med 15(10):2013–2024. https://doi.org/10.1111/j.1582-4934.2011.01355.x

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