title: Quantitative analysis of proteomics using data mining. An automated system for constructing assays quickly and precisely.
authors.affiliation: University of Colorado at Denver, Health Sciences Center, USA.
authors.forename: Chia-Yu
authors.initials: CY
authors.lastname: Yen
authors.forename: Steve M
authors.initials: SM
authors.lastname: Helmke
authors.forename: Krzysztof J
authors.initials: KJ
authors.lastname: Cios
authors.forename: M Benjamin
authors.initials: MB
authors.lastname: Perryman
authors.forename: Mark W
authors.initials: MW
authors.lastname: Duncan
mesh_terms: D000465:Algorithms; D030562:Databases, Protein; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D009206:Myocardium / Q000378:metabolism; D018995:Myosin Heavy Chains / Q000032:analysis* / Q000737:chemistry* / Q000145:classification; D040901:Proteomics / Q000379:methods*; D016415:Sequence Alignment / Q000379:methods; D020539:Sequence Analysis, Protein / Q000379:methods*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*
chemical_list: D018995:Myosin Heavy Chains