Back to search

Article

Metabolome profiling by widely-targeted metabolomics and biomarker panel selection using machine-learning for patients in different stages of chronic kidney disease

2024-02-09

Abstract excerpt

No abstract is available from the source.

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
89d6ad56-5e4c-5b23-b71e-23f7e40281b2
DOI
10.1016/j.cclet.2024.109627
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Metabolome profiling by widely-targeted metabolomics and biomarker panel selection using machine-learning for patients in different stages of chronic kidney diseaseDOI 10.1016/j.cclet.2024.109627
Predicting diabetic kidney disease with serum metabolomics and gut microbiotaSemantic proximity
Metabolomics and renal disease.Semantic proximity
Metabolomics informs common patterns of molecular dysfunction across histologies of renal cell carcinomaSemantic proximity
Metabolome panels as potential noninvasive biomarkers for Primary Glomerulonephritis Sub-types: Meta-analysis of Profiling Metabolomics StudiesSemantic proximity
The Use of ‘Omics for Diagnosing and Predicting Progression of Chronic Kidney Disease: A Scoping ReviewSemantic proximity
Pharmaco-metabolomics and metabolomics: A new tool in precision medicine?Semantic proximity
Metabolomic Profiling of Multiple Biofluids Reveals Metabolic Characteristics in Peritoneal Dialysis Patients: Associations with Peritoneal Transport and Dialysis AdequacySemantic proximity
Integrated strategy for accurately screening biomarkers based on metabolomics coupled with network pharmacologySemantic proximity
Metabolomic Profiling Reveals Interindividual Metabolic Variability and Its Association with Cardiovascular-Kidney-Metabolic Disease RiskSemantic proximity
Metabolomic Profiling Reveals Interindividual Metabolic Variability and Its Association with Cardiovascular-Kidney-Metabolic Syndrome RiskSemantic proximity
NMR-based metabolomics in human disease diagnosis: applications, limitations, and recommendationsSemantic proximity
Identification of putative biomarkers for type 2 diabetes using metabolomics in the Korea Association REsource (KARE) cohortSemantic proximity
Select a neighboring publication to make it the new centre.