TY  - GEN
AU  - Pincus, Nathan B
AU  - Ozer, Egon A
AU  - Allen, Jonathan P
AU  - Nguyen, Marcus
AU  - Davis, James J
AU  - Winter, Deborah R
AU  - Chuang, Chih-Hsien
AU  - Chiu, Cheng-Hsun
AU  - Zamorano, Laura
AU  - Oliver, Antonio
AU  - Hauser, Alan R
PY  - 2020
DO  - 10.1128/mBio.01527-20
SN  - 2150-7511
UR  - https://hdl.handle.net/20.500.12105/22849
AB  - Variation in the genome of Pseudomonas aeruginosa, an important pathogen, can have dramatic impacts on the bacterium's ability to cause disease. We therefore asked whether it was possible to predict the virulence of P. aeruginosa isolates based on...
LA  - eng
PB  - American Society for Microbiology (ASM)
KW  - Pseudomonas aeruginosa
KW  - Genome analysis
KW  - Machine learning
KW  - Modeling
KW  - Prediction
KW  - Virulence
TI  - A Genome-Based Model to Predict the Virulence of Pseudomonas aeruginosa Isolates
TY  - research article
ER  -