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Comparison of Machine Learning Algorithms for Predictive Modeling of Beef Attributes Using Rapid Evaporative Ionization Mass Spectrometry (REIMS) Data.
Gredell, Devin A; Schroeder, Amelia R; Belk, Keith E; Broeckling, Corey D; Heuberger, Adam L; Kim, Soo-Young; King, D Andy; Shackelford, Steven D; Sharp, Julia L; Wheeler, Tommy L; Woerner, Dale R; Prenni, Jessica E.
Affiliation
  • Gredell DA; Center for Meat Safety and Quality, Department of Animal Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
  • Schroeder AR; Department of Mathematics and Statistics, East Tennessee State University, Johnson City, TN, 37614, USA.
  • Belk KE; Center for Meat Safety and Quality, Department of Animal Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
  • Broeckling CD; Proteomics and Metabolomics Facility, Colorado State University, Fort Collins, CO, 80523, USA.
  • Heuberger AL; Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, 80523, USA.
  • Kim SY; Department of Statistics, Colorado State University, Fort Collins, CO, 80523, USA.
  • King DA; USDA-ARS U.S. Meat Animal Research Center, Clay Center, NE, 68933, USA.
  • Shackelford SD; USDA-ARS U.S. Meat Animal Research Center, Clay Center, NE, 68933, USA.
  • Sharp JL; Department of Statistics, Colorado State University, Fort Collins, CO, 80523, USA.
  • Wheeler TL; USDA-ARS U.S. Meat Animal Research Center, Clay Center, NE, 68933, USA.
  • Woerner DR; Center for Meat Safety and Quality, Department of Animal Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
  • Prenni JE; Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, 80523, USA. jprenni@colostate.edu.
Sci Rep ; 9(1): 5721, 2019 04 05.
Article in En | MEDLINE | ID: mdl-30952873
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Red Meat / Food Analysis Type of study: Prognostic_studies / Risk_factors_studies Country/Region as subject: America do norte Language: En Journal: Sci Rep Year: 2019 Type: Article Affiliation country: United States
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Red Meat / Food Analysis Type of study: Prognostic_studies / Risk_factors_studies Country/Region as subject: America do norte Language: En Journal: Sci Rep Year: 2019 Type: Article Affiliation country: United States