KODAMA exploratory analysis in metabolic phenotyping.
Front Mol Biosci
; 9: 1070394, 2022.
Article
en En
| MEDLINE
| ID: mdl-36733493
ABSTRACT
KODAMA is a valuable tool in metabolomics research to perform exploratory analysis. The advanced analytical technologies commonly used for metabolic phenotyping, mass spectrometry, and nuclear magnetic resonance spectroscopy push out a bunch of high-dimensional data. These complex datasets necessitate tailored statistical analysis able to highlight potentially interesting patterns from a noisy background. Hence, the visualization of metabolomics data for exploratory analysis revolves around dimensionality reduction. KODAMA excels at revealing local structures in high-dimensional data, such as metabolomics data. KODAMA has a high capacity to detect different underlying relationships in experimental datasets and correlate extracted features with accompanying metadata. Here, we describe the main application of KODAMA exploratory analysis in metabolomics research.
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1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Front Mol Biosci
Año:
2022
Tipo del documento:
Article
País de afiliación:
Sudáfrica