Database and models for deepARG: see this link for details: gusphdproj / deeparg-ss — Bitbucke
The treatment of infections is increasingly compro-mised by the ability of bacteria to develop resis...
In this paper, we present a novel machine learning-based methodology for identifying bacteria DNA su...
We use a novel approach (an analysis of metatranscriptomics data) to study antibiotic resistance, a ...
Abstract Background Growing concerns about increasing rates of antibiotic resistance call for expand...
Antimicrobial Resistance (AMR) is a growing global health threat. It happens when bacteria or other ...
Antibiotic resistance (AR) is a naturally occurring phenomenon with the capacity to render useless a...
The detection of bacterial antibiotic resistance phenotypes is important when carrying out clinical ...
DeepG, or 'Deep Genomics', is a R library which allows you to train and apply deep neural networks o...
The increasing prevalence of infections caused by antibiotic -resistant bacteria is a global healthc...
Antimicrobial Resistance (AMR) is a growing concern in the medical field. Over-prescription of antib...
The emergence of microbial antibiotic resistance is a global health threat. In clinical settings, th...
Background Environmental and commensal bacteria maintain a diverse and largely unknown collection of...
We present a machine learning framework to automate knowledge discovery through knowledge graph cons...
Limited therapy options due to antibiotic resistance underscore the need for optimization of current...
Antimicrobial resistance (AMR) has become one of the serious global health problems, threatening the...
The treatment of infections is increasingly compro-mised by the ability of bacteria to develop resis...
In this paper, we present a novel machine learning-based methodology for identifying bacteria DNA su...
We use a novel approach (an analysis of metatranscriptomics data) to study antibiotic resistance, a ...
Abstract Background Growing concerns about increasing rates of antibiotic resistance call for expand...
Antimicrobial Resistance (AMR) is a growing global health threat. It happens when bacteria or other ...
Antibiotic resistance (AR) is a naturally occurring phenomenon with the capacity to render useless a...
The detection of bacterial antibiotic resistance phenotypes is important when carrying out clinical ...
DeepG, or 'Deep Genomics', is a R library which allows you to train and apply deep neural networks o...
The increasing prevalence of infections caused by antibiotic -resistant bacteria is a global healthc...
Antimicrobial Resistance (AMR) is a growing concern in the medical field. Over-prescription of antib...
The emergence of microbial antibiotic resistance is a global health threat. In clinical settings, th...
Background Environmental and commensal bacteria maintain a diverse and largely unknown collection of...
We present a machine learning framework to automate knowledge discovery through knowledge graph cons...
Limited therapy options due to antibiotic resistance underscore the need for optimization of current...
Antimicrobial resistance (AMR) has become one of the serious global health problems, threatening the...
The treatment of infections is increasingly compro-mised by the ability of bacteria to develop resis...
In this paper, we present a novel machine learning-based methodology for identifying bacteria DNA su...
We use a novel approach (an analysis of metatranscriptomics data) to study antibiotic resistance, a ...
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