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DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data

Research article (Microbiome, 2018) · cited 915× · AI/ML
academia openalex:W2951274106
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DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data

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DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data is a scholarly article[1].

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  • DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data. Retrieved May 24, 2026, from https://4ort.xyz/entity/deeparg-a-deep-learning-approach-for-predicting-antibiotic-resistance-genes-from-metagenomic-data
MLA “DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deeparg-a-deep-learning-approach-for-predicting-antibiotic-resistance-genes-from-metagenomic-data.
BibTeX @misc{4ortxyz_deeparg-a-deep-learning-approach-for-predicting-antibiotic-resistance-genes-from-metagenomic-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data}}, year = {2026}, url = {https://4ort.xyz/entity/deeparg-a-deep-learning-approach-for-predicting-antibiotic-resistance-genes-from-metagenomic-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data — https://4ort.xyz/entity/deeparg-a-deep-learning-approach-for-predicting-antibiotic-resistance-genes-from-metagenomic-data (retrieved 2026-05-24)

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