Proteomics

Dataset Information

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Application of SWATH Mass Spectrometry and Machine Learning in Diagnosis of Inflammatory Bowel Disease Based on Stool Proteome


ABSTRACT: Our hypothesis was that conducting proteomic analysis on clinical laboratory samples which are intended for the fecal calprotectin test would enable the develop-ment of a highly sensitive and specific non-invasive stool test based on mass spec-trometry. To investigate this hypothesis, we combined and applied our expertise in basic research, clinical practice, and bioinformatics to develop a precise ma-chine-learning model for the accurate diagnosis of active IBD from symptomatic non-IBDpatients.

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Elmira Shajari  

LAB HEAD: Jean-Francois Beaulieu

PROVIDER: PXD047585 | Pride | 2024-02-01

REPOSITORIES: Pride

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