METHOD FOR IDENTIFYING AN UNKNOWN BIOLOGICAL SAMPLE FROM MULTIPLE ATTRIBUTES

    公开(公告)号:US20220013197A1

    公开(公告)日:2022-01-13

    申请号:US17295418

    申请日:2019-11-20

    Abstract: A method for identifying an unknown biological sample (e.g. a glycan, an antibody, a metabolite) is disclosed. The method comprises: receiving more than two sample measurements for the unknown biological sample, calculating a sample point in a two-dimensional plot from the more than two sample measurements for the unknown biological sample and identifying the unknown biological sample by comparing the sample point against the plurality of reference points in the two-dimensional plot. The two-dimensional plot includes a plurality of stored reference points corresponding to respective known biological compounds. Each reference point is calculated from a plurality of reference measurements for more than two attributes of the corresponding known biological compound (e.g. by performing principal component analysis on the plurality of reference measurements), with each attribute being different from another attribute. Each reference measurement may be obtained experimentally (e.g. by liquid chromatography, mass spectrometry, tandem mass spectrometry, ion mobility spectrometry) or by a machine learning algorithm.

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