Cargando…
Multi-label classification for multi-drug resistance prediction of Escherichia coli
Antimicrobial resistance (AMR) is a global health and development threat. In particular, multi-drug resistance (MDR) is increasingly common in pathogenic bacteria. It has become a serious problem to public health, as MDR can lead to the failure of treatment of patients. MDR is typically the result o...
Autores principales: | Ren, Yunxiao, Chakraborty, Trinad, Doijad, Swapnil, Falgenhauer, Linda, Falgenhauer, Jane, Goesmann, Alexander, Schwengers, Oliver, Heider, Dominik |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918850/ https://www.ncbi.nlm.nih.gov/pubmed/35317240 http://dx.doi.org/10.1016/j.csbj.2022.03.007 |
Ejemplares similares
-
Deep Transfer Learning Enables Robust Prediction of Antimicrobial Resistance for Novel Antibiotics
por: Ren, Yunxiao, et al.
Publicado: (2022) -
Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning
por: Ren, Yunxiao, et al.
Publicado: (2021) -
Whole-Genome Sequences of Clinical Enterobacter bugandensis Isolates from Germany
por: Falgenhauer, Jane, et al.
Publicado: (2019) -
bla(CTX-M-27)–Encoding Escherichia coli Sequence Type 131 Lineage C1-M27 Clone in Clinical Isolates, Germany
por: Ghosh, Hiren, et al.
Publicado: (2017) -
Platon: identification and characterization of bacterial plasmid contigs in short-read draft assemblies exploiting protein sequence-based replicon distribution scores
por: Schwengers, Oliver, et al.
Publicado: (2020)