Abstract
ABSTRACTClassification of proteomic samples from sick and non-sick individuals is important for developing high-quality diagnostics of diseases. Creating shortlist of proteins useful for diagnostics is challenging. In this manuscript a simple algorithm of creating a multidimensional biomarker of health state based of scanning proteomics data is provided. The algorithm is applied to several existing publicly available datasets and demonstrates 9-protein indicator of atopic dermatitis, and 6-protein indicator of health failure.
Publisher
Cold Spring Harbor Laboratory