Whole-genome based bacterial phenotype predictions with machine learning.

Signe Tang Karlsen

Research output: Book/Report › Ph.D. thesis

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Fast-tracking the identification of safe and effective probiotic bacteria by in sillico prediction of bacterial genomic features
Tang Karlsen, S. (PhD Student), Bælum, J. (Supervisor), Vesth, T. C. (Supervisor), Petersen, T. N. (Examiner), Lagesen, K. (Examiner), Tolstrup, N. (Examiner) & Lund, O. (Main Supervisor)
Industrial PhD
01/08/2017 → 20/05/2021
Project: PhD