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Building machine-learning-based models for retention time and resolution predictions in ion pair chromatography of oligonucleotides.
Enmark, Martin; Häggström, Jakob; Samuelsson, Jörgen; Fornstedt, Torgny.
Affiliation
  • Enmark M; Department of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden.
  • Häggström J; Department of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden.
  • Samuelsson J; Department of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden. Electronic address: Jorgen.Samuelsson@kau.se.
  • Fornstedt T; Department of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden. Electronic address: Torgny.Fornstedt@kau.se.
J Chromatogr A ; 1671: 462999, 2022 May 24.
Article in En | MEDLINE | ID: mdl-35381559
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oligonucleotides / Chromatography Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Chromatogr A Year: 2022 Document type: Article Affiliation country: Sweden Country of publication: Netherlands
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oligonucleotides / Chromatography Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Chromatogr A Year: 2022 Document type: Article Affiliation country: Sweden Country of publication: Netherlands