2023
DOI: 10.3389/fendo.2023.1227252
|View full text |Cite
|
Sign up to set email alerts
|

Combining proteomic markers to construct a logistic regression model for polycystic ovary syndrome

Cheng Tong,
Yue Wu,
Zhenchao Zhuang
et al.

Abstract: IntroductionProteomics technology has been used in various fields in recent years for the Q6 exploration of novel markers and the study of disease pathogenesis, and has become one of the most important tools for researchers to explore unknown areas. However, there are fewer studies related to the construction of clinical models using proteomics markers.MethodsIn our previous study we used DIA proteomics to screen for proteins that were significant in 31 PCOS patients compared to women of normal reproductive ag… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 36 publications
(43 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?