Picking lowest-cost measurements for identifying unknowns.
One way to identify an unknown item is to measure its traits and compare the measurements with those of items the unknown might be. This paper outlines a way to pick what to measure from given known traits to (1) minimize measurement cost and (2) ensure that measuring the picked traits is as good as measuring all the given traits for purposes of identifying unknowns. The paper also relates a computer program which has been written to do this, and the program's use with the Protein Atlas in minimizing the number of amino acids to measure in an experiment involving polypeptide identification.
Olson
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AD
Laboratory of Experimental Carcinogenesis, National Cancer Institute, Bethesda, MD 20892.
D000595:Amino Acid Sequence; D007256:Information Systems; D008969:Molecular Sequence Data; D010455:Peptides; D012984:Software
D010455:Peptides