Data analysis in metabolite profiling typically involves several steps:
1. Data Preprocessing: This includes noise reduction, baseline correction, and peak alignment. 2. Feature Extraction: Identifying and quantifying the metabolites present in the sample. 3. Statistical Analysis: Multivariate techniques such as PCA (Principal Component Analysis) and PLS-DA (Partial Least Squares Discriminant Analysis) are commonly used. 4. Pathway Analysis: Mapping the identified metabolites to known biochemical pathways to understand the biological context.
