Machine learning approach on plasma proteomics identifies signatures associated with obesity in the KORA FF4 cohort.

Saved in:
Bibliographic Details
Title: Machine learning approach on plasma proteomics identifies signatures associated with obesity in the KORA FF4 cohort.
Authors: Niu, Jiefei1,2,3 (AUTHOR) jiefei.niu@helmholtz-munich.de, Adam, Jonathan1,2,4 (AUTHOR), Skurk, Thomas5,6 (AUTHOR), Seissler, Jochen4,7 (AUTHOR), Dong, Qiuling1,2,3 (AUTHOR), Efiong, Esienanwan1,2,8,9 (AUTHOR), Gieger, Christian1,2,4 (AUTHOR), Peters, Annette2,4,10 (AUTHOR), Sharma, Sapna1,2,4 (AUTHOR) sapna.sharma@helmholtz-munich.de, Grallert, Harald1,2,4 (AUTHOR) harald.grallert@helmholtz-munich.de
Source: Diabetes, Obesity & Metabolism. May2025, Vol. 27 Issue 5, p2626-2636. 11p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
Description
ISSN:14628902
DOI:10.1111/dom.16264