Digital phagograms: predicting phage infectivity through a multilayer machine learning approach

Current Opinion in Virology, vol. 52, pp. 174–181

Authors 7

1. Cédric Lood

   KU Leuven

   Affiliation as printed

   Laboratory of Gene Technology, Department of Biosystems, KU Leuven, Leuven, Belgium; Centre of Microbial and Plant Genetics, Department of Microbial and Molecular Systems, KU Leuven, Leuven, Belgium

   Centre of Microbial and Plant Genetics, Department of Microbial and Molecular Systems, KU Leuven, Leuven, Belgium

   Laboratory of Gene Technology, Department of Biosystems, KU Leuven, Leuven, Belgium

2. Dimitri Boeckaerts

   Ghent University

   Affiliation as printed

   Laboratory of Applied Biotechnology, Department of Biotechnology, Ghent University, Ghent, Belgium; KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium

   KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium

   Laboratory of Applied Biotechnology, Department of Biotechnology, Ghent University, Ghent, Belgium

3. Michiel Stock

   Ghent University

   Affiliation as printed

   KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium; BIOBIX, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium

   BIOBIX, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium

   KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium

4. Bernard De Baets

   Ghent University

   Affiliation as printed

   KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium

5. Rob Lavigne corresponding

   KU Leuven

   Affiliation as printed

   Laboratory of Gene Technology, Department of Biosystems, KU Leuven, Leuven, Belgium. Electronic address: rob.lavigne@kuleuven.be

   Laboratory of Gene Technology, Department of Biosystems, KU Leuven, Leuven, Belgium

6. Vera van Noort corresponding Aachen Institute of Biology, Leiden University

   Leiden University · KU Leuven

   Affiliation as printed

   Centre of Microbial and Plant Genetics, Department of Microbial and Molecular Systems, KU Leuven, Leuven, Belgium; Institute of Biology, Leiden University, Leiden, The Netherlands. Electronic address: vera.vannoort@kuleuven.be

   Centre of Microbial and Plant Genetics, Department of Microbial and Molecular Systems, KU Leuven, Leuven, Belgium

   Institute of Biology, Leiden University, Leiden, The Netherlands

7. Yves Briers corresponding

   Ghent University

   Affiliation as printed

   Laboratory of Applied Biotechnology, Department of Biotechnology, Ghent University, Ghent, Belgium. Electronic address: yves.briers@ugent.be

   Laboratory of Applied Biotechnology, Department of Biotechnology, Ghent University, Ghent, Belgium