Home ›
Entities
› academia
› ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network
ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network
Research article (NAR Genomics and Bioinformatics, 2021) · cited 26× · AI/ML
ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network
Summary
ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network is a scholarly article[1].
Key Facts
ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/arg-shine-improve-antibiotic-resistance-class-prediction-by-integrating-sequence-homology-functional-information-and-dee
MLA“ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/arg-shine-improve-antibiotic-resistance-class-prediction-by-integrating-sequence-homology-functional-information-and-dee.
BibTeX@misc{4ortxyz_arg-shine-improve-antibiotic-resistance-class-prediction-by-integrating-sequence-homology-functional-information-and-dee_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network}}, year = {2026}, url = {https://4ort.xyz/entity/arg-shine-improve-antibiotic-resistance-class-prediction-by-integrating-sequence-homology-functional-information-and-dee}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network — https://4ort.xyz/entity/arg-shine-improve-antibiotic-resistance-class-prediction-by-integrating-sequence-homology-functional-information-and-dee (retrieved 2026-05-24)