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Patrick Murigu Kamau Njage

 https://orcid.org/0000-0002-4364-5314

  • Kemitorvet, 204, 104

    2800 Kgs. Lyngby

    Denmark

20162020

Research output per year

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Research Output

  • 17 Journal article
  • 1 Conference abstract in proceedings
  • 1 Report chapter

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.

Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
5 Downloads (Pure)

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, Amid, C., Cochrane, G., Sicheritz-Pontén, T., Schmitt, H., Alvarez, J. R. M., Aidara-Kane, A., Pamp, S. J., Lund, O., Hald, T., Woolhouse, M., Koopmans, M. P., Vigre, H., Petersen, T. N. & Aarestrup, F. M., 2019, In : Nature Communications. 10, 12 p., 1124.

Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
294 Downloads (Pure)

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. 72-82

Research 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
70 Downloads (Pure)

Meta-Analysis and Meta-Regression Indicate Dynamic Prevalence and Moderators of Foodborne Pathogens in African Indigenous Fermented Milk

Wambui, J. M., Njage, P. M. K., Tasara, T. & Buys, E. M., 2019, In : Microorganisms. 7, 11, 19 p., 563.

Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
18 Downloads (Pure)

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