Cargando…
eMIC-AntiKP: Estimating minimum inhibitory concentrations of antibiotics towards Klebsiella pneumoniae using deep learning
Nowadays, antibiotic resistance has become one of the most concerning problems that directly affects the recovery process of patients. For years, numerous efforts have been made to efficiently use antimicrobial drugs with appropriate doses not only to exterminate microbes but also stringently constr...
Autores principales: | Nguyen, Quang H., Ngo, Hoang H., Nguyen-Vo, Thanh-Hoang, Do, Trang T.T., Rahardja, Susanto, Nguyen, Binh P. |
---|---|
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/PMC9827358/ https://www.ncbi.nlm.nih.gov/pubmed/36659924 http://dx.doi.org/10.1016/j.csbj.2022.12.041 |
Ejemplares similares
-
iPseU-NCP: Identifying RNA pseudouridine sites using random forest and NCP-encoded features
por: Nguyen-Vo, Thanh-Hoang, et al.
Publicado: (2019) -
iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks
por: Nguyen, Quang H., et al.
Publicado: (2019) -
iPromoter-Seqvec: identifying promoters using bidirectional long short-term memory and sequence-embedded features
por: Nguyen-Vo, Thanh-Hoang, et al.
Publicado: (2022) -
i4mC-GRU: Identifying DNA N(4)-Methylcytosine sites in mouse genomes using bidirectional gated recurrent unit and sequence-embedded features
por: Nguyen-Vo, Thanh-Hoang, et al.
Publicado: (2023) -
iProDNA-CapsNet: identifying protein-DNA binding residues using capsule neural networks
por: Nguyen, Binh P., et al.
Publicado: (2019)