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Guidelines for extracting biologically relevant context-specific metabolic models using gene expression data.
Gopalakrishnan, Saratram; Joshi, Chintan J; Valderrama-Gómez, Miguel Á; Icten, Elcin; Rolandi, Pablo; Johnson, William; Kontoravdi, Cleo; Lewis, Nathan E.
Affiliation
  • Gopalakrishnan S; Department of Pediatrics, University of California San Diego, United States.
  • Joshi CJ; Department of Pediatrics, University of California San Diego, United States.
  • Valderrama-Gómez MÁ; Digital Integration and Predictive Technologies, Amgen Inc, United States.
  • Icten E; Digital Integration and Predictive Technologies, Amgen Inc, United States.
  • Rolandi P; Digital Integration and Predictive Technologies, Amgen Inc, United States.
  • Johnson W; Digital Integration and Predictive Technologies, Amgen Inc, United States.
  • Kontoravdi C; Department of Chemical Engineering, Imperial College London, UK.
  • Lewis NE; Department of Pediatrics, University of California San Diego, United States; Department of Bioengineering, University of California San Diego, United States. Electronic address: nlewisres@ucsd.edu.
Metab Eng ; 75: 181-191, 2023 01.
Article in En | MEDLINE | ID: mdl-36566974
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Escherichia coli / Models, Biological Type of study: Guideline / Prognostic_studies Limits: Animals Language: En Journal: Metab Eng Journal subject: ENGENHARIA BIOMEDICA / METABOLISMO Year: 2023 Type: Article Affiliation country: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Escherichia coli / Models, Biological Type of study: Guideline / Prognostic_studies Limits: Animals Language: En Journal: Metab Eng Journal subject: ENGENHARIA BIOMEDICA / METABOLISMO Year: 2023 Type: Article Affiliation country: United States