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

Niu, Jiefei ORCID: https://orcid.org/0000-0003-4104-1426; Adam, Jonathan; Skurk, Thomas; Seissler, Jochen; Dong, Qiuling ORCID: https://orcid.org/0000-0002-3369-4120; Efiong, Esienanwan; Gieger, Christian; Peters, Annette ORCID: https://orcid.org/0000-0001-6645-0985; Sharma, Sapna und Grallert, Harald (2025): Machine learning approach on plasma proteomics identifies signatures associated with obesity in the KORA FF4 cohort. In: Diabetes, Obesity and Metabolism, Vol. 27, No. 5: pp. 2626-2636 [PDF, 1MB]

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DOI: 10.1111/dom.16264

Item Type:	Journal article
Faculties:	Medicine > Institute for Medical Information Processing, Biometry and Epidemiology Medicine > Medical Center of the University of Munich > Medical Clinic and Outpatient Clinic IV (Endocrinology, nephrology, other sections)
Subjects:	600 Technology > 610 Medicine and health
URN:	urn:nbn:de:bvb:19-epub-128167-3
ISSN:	1462-8902
Language:	English
Item ID:	128167
Date Deposited:	25. Aug 2025 11:52
Last Modified:	25. Aug 2025 11:52

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