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Individual physiological and pathophysiological states, as well as the environment, impact the metabolome. With the help of metabolomics, clinical investigations can better understand the mechanisms underlying disease. The expansion of analytical techniques intended to examine biofluids thoroughly facilitates the characterization of numerous illness biomarkers. Metabolomics aims to identify subtle variances in metabolic profiles among biological systems in different physiological or pathological conditions. In our review, we start by outlining the seven objectives of metabolic profile analysis, which range from creating a data table to integrating multiple omics for systems biology. Then, approaches to data reduction and deconvolution, normalization, scaling, and data transformations are provided. These techniques for preprocessing and pretreatment cover a variety of topics.
Alwahsh et al. (Fri,) studied this question.