• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

Generalized canonical correlations and their applications to experimental data.

作者信息

HORST P

出版信息

J Clin Psychol. 1961 Oct;17:331-47. doi: 10.1002/1097-4679(196110)17:4<331::aid-jclp2270170402>3.0.co;2-d.

DOI:10.1002/1097-4679(196110)17:4<331::aid-jclp2270170402>3.0.co;2-d
PMID:13715976
Abstract
摘要

相似文献

1
Generalized canonical correlations and their applications to experimental data.广义典型相关及其在实验数据中的应用。
J Clin Psychol. 1961 Oct;17:331-47. doi: 10.1002/1097-4679(196110)17:4<331::aid-jclp2270170402>3.0.co;2-d.
2
A study of reliability using canonical correlations.
Psychol Rep. 1966 Jun;18(3):830. doi: 10.2466/pr0.1966.18.3.830.
3
The comparison of group profiles: correlations of averages or average correlations?
J Consult Psychol. 1962 Jun;26:282-4. doi: 10.1037/h0040071.
4
A canonical correlation between adaptive and maladaptive aspects of adaptive behavior.
Am J Ment Defic. 1983 Sep;88(2):225-8.
5
Within-groups correlations and their correction for attenuation.
Psychol Bull. 1957 Mar;54(2):131-3. doi: 10.1037/h0045980.
6
Accounting for variance shared by measures of personality and stress-related variables: a canonical correlation analysis.考量人格测量与压力相关变量所共享的方差：典型相关分析
Psychol Rep. 1995 Jun;76(3 Pt 1):959-62. doi: 10.2466/pr0.1995.76.3.959.
7
A note on contemporary psychometrics.当代心理测量学札记。
J Ment Health. 2017 Dec;26(6):486-488. doi: 10.1080/09638237.2017.1392008. Epub 2017 Oct 23.
8
A general canonical correlation index.一个通用的典型相关指数。
Psychol Bull. 1968 Sep;70(3):160-3. doi: 10.1037/h0026143.
9
Content and response-style in the construct validation of self-report inventories: a canonical analysis.
J Clin Psychol. 1984 Nov;40(6):1414-20.
10
Narcissism and object relations.自恋与客体关系。
Psychol Rep. 1992 Dec;71(3 Pt 1):799-808. doi: 10.2466/pr0.1992.71.3.799.

引用本文的文献

1
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning.基于图广义典型相关分析和对比学习的脑认知指纹识别
Mach Learn Clin Neuroimaging (2024). 2025;15266:24-34. doi: 10.1007/978-3-031-78761-4_3. Epub 2024 Dec 6.
2
mvlearnR and Shiny App for multiview learning.用于多视图学习的mvlearnR和Shiny应用程序。
Bioinform Adv. 2024 Jan 16;4(1):vbae005. doi: 10.1093/bioadv/vbae005. eCollection 2024.
3
CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data.
CLCLSA：基于对比学习和自注意力机制的跨组学关联嵌入方法，用于整合不完整的多组学数据。
Comput Biol Med. 2024 Mar;170:108058. doi: 10.1016/j.compbiomed.2024.108058. Epub 2024 Jan 28.
4
Deep multi-omics integration by learning correlation-maximizing representation identifies prognostically stratified cancer subtypes.通过学习最大化相关性表示进行深度多组学整合可识别出具有预后分层的癌症亚型。
Bioinform Adv. 2023 Jun 21;3(1):vbad075. doi: 10.1093/bioadv/vbad075. eCollection 2023.
5
CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data.CLCLSA：基于对比学习和自注意力机制的跨组学链接嵌入，用于整合不完整多组学数据的多组学整合。
Res Sq. 2023 May 2:rs.3.rs-2768563. doi: 10.21203/rs.3.rs-2768563/v1.
6
CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data.CLCLSA：基于对比学习和自注意力机制的交叉组学链接嵌入，用于整合不完整多组学数据的多组学集成
ArXiv. 2023 Apr 12:arXiv:2304.05542v1.
7
Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment.深度多视图学习以识别轻度认知障碍中的成像驱动亚型。
BMC Bioinformatics. 2022 Sep 29;23(Suppl 3):402. doi: 10.1186/s12859-022-04946-x.
8
Learning Low-Dimensional Semantics for Music and Language via Multi-Subject fMRI.通过多主体功能磁共振成像学习音乐和语言的低维语义
Neuroinformatics. 2022 Apr;20(2):451-461. doi: 10.1007/s12021-021-09560-5. Epub 2022 Jan 7.
9
Deep Multiview Learning to Identify Population Structure with Multimodal Imaging.用于通过多模态成像识别群体结构的深度多视图学习
Proc IEEE Int Symp Bioinformatics Bioeng. 2020 Oct;2020:308-314. doi: 10.1109/bibe50027.2020.00057. Epub 2020 Dec 16.
10
Sparse multiple co-Inertia analysis with application to integrative analysis of multi -Omics data.稀疏多重共惯性分析及其在多组学数据综合分析中的应用。
BMC Bioinformatics. 2020 Apr 15;21(1):141. doi: 10.1186/s12859-020-3455-4.