Metabolism pathway-based subtyping in endometrial cancer: An integrated study by multi-omics analysis and machine learning algorithms

Liu, Xiaodie; Wang, Wenhui; Zhang, Xiaolei; Liang, Jing; Feng, Dingqing; Li, Yuebo; Xue, Ming; Ling, Bin

doi:10.1016/j.omtn.2024.102155

Molecular Therapy - Nucleic Acids

2024

DOI: 10.1016/j.omtn.2024.102155

|View full text |Cite

Metabolism pathway-based subtyping in endometrial cancer: An integrated study by multi-omics analysis and machine learning algorithms

Xiaodie Liu,

Wenhui Wang,

Xiaolei Zhang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 94 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

ECMTrans-net

Yang,

Li,

Liu

et al. 2024

The American Journal of Pathology

View full text Add to dashboard Cite

ECMTrans-net

Yang,

Li,

Liu

et al. 2024

The American Journal of Pathology

View full text Add to dashboard Cite

Enhancing endometrial cancer detection: Blood serum intrinsic fluorescence data processing and machine learning application

Švecová,

Blahová,

Kostolný

et al. 2025

Talanta

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Metabolism pathway-based subtyping in endometrial cancer: An integrated study by multi-omics analysis and machine learning algorithms

Cited by 2 publications

References 94 publications

ECMTrans-net

ECMTrans-net

Enhancing endometrial cancer detection: Blood serum intrinsic fluorescence data processing and machine learning application

Contact Info

Product

Resources

About