Jessica Vamathevan

Years Active: 2018-2019
Publications (10 Years): 3

This page only lists publications with an associated author ORCID identifier.

Publications

Jessica Vamathevan, Dominic Clark, Paul Czodrowski, Ian Dunham, Edgardo Ferran, George Lee, Bin Li, Anant Madabhushi, Parantu Shah, Michaela Spitzer, Shanrong Zhao
Applications of machine learning in drug discovery and development. Nature reviews. Drug discovery 18 (6) (2019)
Alexandre Angers-Loustau, Mauro Petrillo, Johan Bengtsson-Palme, Thomas Berendonk, Burton Blais, Kok Gan Chan, Teresa M Coque, Paul Hammer, Stefanie Heß, Dafni M Kagkli, Carsten Krumbiegel, Val F Lanza, Jean-Yves Madec, Thierry Naas, Justin O'Grady, Valentina Paracchini, John W A Rossen, Etienne Ruppé, Jessica Vamathevan, Vittorio Venturi, Guy Van den Eede
The challenges of designing a benchmark strategy for bioinformatics pipelines in the identification of antimicrobial resistance determinants using next generation sequencing technologies. F1000Research (2018)
Alexandre Angers-Loustau, Mauro Petrillo, Johan Bengtsson-Palme, Thomas Berendonk, Burton Blais, Kok-Gan Chan, Teresa M Coque, Paul Hammer, Stefanie Heß, Dafni M Kagkli, Carsten Krumbiegel, Val F Lanza, Jean-Yves Madec, Thierry Naas, Justin O'Grady, Valentina Paracchini, John W A Rossen, Etienne Ruppé, Jessica Vamathevan, Vittorio Venturi, Guy Van den Eede
The challenges of designing a benchmark strategy for bioinformatics pipelines in the identification of antimicrobial resistance determinants using next generation sequencing technologies. F1000Research 7 (2018)

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