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Identification of the expressome by machine learning on omics data.
Sartor, Ryan C; Noshay, Jaclyn; Springer, Nathan M; Briggs, Steven P.
Affiliation
  • Sartor RC; Division of Biology, University of California San Diego, La Jolla, CA 92093.
  • Noshay J; Department of Plant Biology, University of Minnesota, St. Paul, MN 55108.
  • Springer NM; Department of Plant Biology, University of Minnesota, St. Paul, MN 55108.
  • Briggs SP; Division of Biology, University of California San Diego, La Jolla, CA 92093; sbriggs@ucsd.edu.
Proc Natl Acad Sci U S A ; 116(36): 18119-18125, 2019 09 03.
Article in En | MEDLINE | ID: mdl-31420517
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome, Plant / Gene Expression Regulation, Plant / Zea mays / Gene Expression Profiling / Databases, Nucleic Acid / Machine Learning Type of study: Diagnostic_studies Language: En Journal: Proc Natl Acad Sci U S A Year: 2019 Document type: Article Country of publication: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome, Plant / Gene Expression Regulation, Plant / Zea mays / Gene Expression Profiling / Databases, Nucleic Acid / Machine Learning Type of study: Diagnostic_studies Language: En Journal: Proc Natl Acad Sci U S A Year: 2019 Document type: Article Country of publication: United States