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filingDate 2020-06-03-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ae91e41fa68eef7f5d09d7b13014ca17
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publicationDate 2020-10-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-2020309783-A1
titleOfInvention System and method for identification of a synthetic classifer
abstract The present invention provides a method for identifying a synthetic classifier including contacting at least a first and second samples derived from different groups of a cohort with a first plurality of peptides. The first plurality of peptides includes a first subset of peptides defining at least one naturally occurring amino acid sequence, and a second subset of peptides defining a plurality of variants of the first subset of peptides. The plurality of variants includes, for each one of the first subset of peptides, a variant peptide having at least one of a substitution, a deletion, an insertion, an extension, and a modification. The method further includes selecting at least one of the plurality of variants from the second subset of peptides, and defining a synthetic classifier including the at least one of the plurality of variants that distinguishes between samples derived from the first and second cohorts.
priorityDate 2016-10-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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