Applications of serum amino acid levels in identification of cancer

Abstract

Chemometric method of uncorrelated linear discriminant analysis (ULDA) was applied to the data of amino acid levels in serum of lung cancer patients and healthy people, eventually successfully classifies the samples of cancer patients and healthy people. Simultaneously, several potential amino acid biomarkers were possibly chosen. So the method of amino acid levels combined with ULDA algorithm could be applied to the identification of cancer and exploration of tumor biomarker, which has certain practical value and application prospects.