LRT-CLUSTER: A New Clustering Algorithm Based on Likelihood Ratio Test to Identify Driving Genes-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

LRT-CLUSTER: A New Clustering Algorithm Based on Likelihood Ratio Test to Identify Driving Genes

Published:2023-02-27 Issue:2 Volume:15 Page:217-230
ISSN:1913-2751
Container-title:Interdisciplinary Sciences: Computational Life Sciences
language:en
Short-container-title:Interdiscip Sci Comput Life Sci

Author:

Quan Chenxu,Liu Fenghui,Qi Lin,Tie Yun^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology

Link

https://link.springer.com/content/pdf/10.1007/s12539-023-00554-2.pdf

Reference29 articles.

1. Dimitrakopoulos CM, Beerenwinkel N (2017) Computational approaches for the identification of cancer genes and pathways. Wiley Interdiscip Rev 9(1):e1364. https://doi.org/10.1002/wsbm.1364

2. Dietlein F et al (2020) Identification of cancer driver genes based on nucleotide context. Nat Genet 52(2):208–218. https://doi.org/10.1038/s41588-019-0572-y

3. Malebary SJ, Khan YD (2021) Evaluating machine learning methodologies for identification of cancer driver genes. Sci Rep 11(1):1–13. https://doi.org/10.1038/s41598-021-91656-8

4. Stephens PJ et al (2012) The landscape of cancer genes and mutational processes in breast cancer. Nature 486(7403):400–404. https://doi.org/10.1038/nature11017

5. Leiserson MD et al (2015) CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancer. Genome Biol 16(1):1–20. https://doi.org/10.1186/s13059-015-0700-7

Cited by 1 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. Refined allocation of power marketing service resources based on clustering analysis algorithm;Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management;2023-12-08

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