Modelling-based joint embedding of histology and genomics using canonical correlation analysis for breast cancer survival prediction-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Modelling-based joint embedding of histology and genomics using canonical correlation analysis for breast cancer survival prediction

Published:2024-03 Issue: Volume:149 Page:102787
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Subramanian Vaishnavi^ORCID,Syeda-Mahmood Tanveer,Do Minh N.^ORCID

Publisher

Elsevier BV

Reference59 articles.

1. Cancer statistics, 2023;Siegel;CA: Cancer J Clin,2023

2. Molecular and cellular heterogeneity in breast cancer: challenges for personalized medicine;Rivenbark;Am J Pathol,2013

3. Multidisciplinary team approach in breast cancer care: benefits and challenges;Blackwood;Indian J Pathol Microbiol,2020

4. Supervised risk predictor of breast cancer based on intrinsic subtypes;Parker;J Clin Oncol,2009

5. Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis;Zhang;BMC Med Genom,2018

Cited by 2 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. IG-ANGO: a novel ensemble learning algorithm for breast cancer prediction using genomic data;Evolving Systems;2024-09-14

2. Advances in AI-based genomic data analysis for cancer survival prediction;Multimedia Tools and Applications;2024-06-21

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