| Summary: | Sustainable use of natural resource such as fishmeal in aquaculture, can be achieved by substituting with more abundant biomass. This goal relies on the use of available research methods to understand how cultured species respond to each substitute and factors responsible for such responses to know how they can be modified for better response. The quantity and quality of research needed for understanding these relationships can be optimized by employing identified statistical methods. Correlation coefficient is a statistical method to quantify degree of corresponding changes between 2 features, while LASSOCV gives a defined list of independent features, relevant to the target feature being analyzed based on the ordinary least squares. Most relevant features to RBC are phenylanaline and valine, other less relevant features are histidine and threonine, all other essential amino acids are identified as irrelevant to RBC with a certainty score of 50% (R2 ). RBC and HB showed strong relationship with a coefficient of 0.8, but differ in relevant amino acid components (isoleucine, histidine and threonine). The analysis suggests the relevant amino acids for each clinical parameters, which can be confirmed with further experiments.
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