Research Output per year
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output
A High Resolution DNA Melting Curve Analysis for the Rapid and Efficient Molecular Diagnostics of Extended Spectrum β-Lactamase Determinants from Foodborne Escherichia coli
Njage, P. M. K. & Buys, E. M., 2020, In : Microorganisms. 8, 1, 11 p., 90.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Application of Whole-Genome Sequences and Machine Learning in Source Attribution of Salmonella Typhimurium
Munck, N. S. M., Njage, P. M. K., Leekitcharoenphon, P., Litrup, E. & Hald, T., 2020, (Accepted/In press) In : Risk Analysis.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage
Hendriksen, R. S., Munk, P., Njage, P. M. K., van Bunnik, B., McNally, L., Lukjancenko, O., Röder, T., Nieuwenhuijse, D., Karlsmose Pedersen, S., Kjeldgaard, J. S., Kaas, R. S., Clausen, P. T. L. C., Vogt, J. K., Leekitcharoenphon, P., van de Schans, M. G. M., Zuidema, T., de Roda Husman, A. M., Rasmussen, S., Petersen, B., Global, S. S. P. C. & 14 others, , 2019, In : Nature Communications. 10, 12 p., 1124.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Improving hazard characterization in microbial risk assessment using next generation sequencing data and machine learning: Predicting clinical outcomes in shigatoxigenic Escherichia coli
Njage, P. M. K., Leekitcharoenphon, P. & Hald, T., 2019, In : International Journal of Food Microbiology. 292, p. 72-82Research output: Contribution to journal › Journal article › Research › peer-review
Machine Learning Methods as a Tool for Predicting Risk of Illness Applying Next-Generation Sequencing Data
Njage, P. M. K., Henri, C., Leekitcharoenphon, P., Mistou, M-Y., Hendriksen, R. S. & Hald, T., 2019, In : Risk Analysis. 39, 6, p. 1397-1413 17 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Activities
- 1 Conference presentations
Incorporation of machine learning methods for whole genome sequencing based risk prediction and source attribution:case of Listeria monocytogenes
Patrick Murigu Kamau Njage (Speaker), , Pimlapas Leekitcharoenphon (Other), , Clémentine Henri (Other), , Sophie Roussel (Guest lecturer), , Rene S. Hendriksen (Other), & Tine Hald (Other)
26 Sep 2017
Activity: Talks and presentations › Conference presentations