Amino Acid <i>k</i>-mer Feature Extraction for Quantitative Antimicrobial Resistance (AMR) Prediction by Machine Learning and Model Interpretation for Biological Insights.

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作者： Taha,ValizadehAslani ^[1] ; Zhengqiao,Zhao ^[1] ; Bahrad A,Sokhansanj ^[1] ; Gail L,Rosen ^[1]

作者单位： Ecological and Evolutionary Signal-Processing and Informatics Laboratory, Department of Electrical and Computer Engineering, College of Engineering, Drexel University, Philadelphia, PA 19104, USA. ^[1]

关键词 SNP amino acid antimicrobial resistance gene clustering genome sequencing k-mer counting machine learning nucleotide

DOI 10.3390/biology9110365

PMID 33126516

发布时间 2020-11-28

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Biology

2020年9卷11期

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Amino Acid <i>k</i>-mer Feature Extraction for Quantitative Antimicrobial Resistance (AMR) Prediction by Machine Learning and Model Interpretation for Biological Insights.

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Amino Acid <i>k</i>-mer Feature Extraction for Quantitative Antimicrobial Resistance (AMR) Prediction by Machine Learning and Model Interpretation for Biological Insights.

Biology

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Biology

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