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Silicon versus Superbug: Assessing Machine Learning's Role in the Fight against Antimicrobial Resistance
Article describes how, in his 1945 Nobel Prize acceptance speech, Sir Alexander Fleming warned of antimicrobial resistance (AMR) if the necessary precautions were not taken diligently. This paper explores the applications of ML in predicting and understanding AMR, highlighting its potential in revolutionizing healthcare practices.
Date:
November 8, 2023
Creator:
Coxe, Tallon & Azad, Rajeev K.
Object Type:
Article
System:
The UNT Digital Library
Using Machine Learning to Predict Genes Underlying Differentiation of Multipartite and Unipartite Traits in Bacteria
Article describes how, since the discovery of the second chromosome in the Rhodobacter spaeroides 2.4.1 in 1989 and the revelation of gene sequences, multipartite genomes have been reported in over three hundred bacterial species under nine different phyla. In this study, the authors have attempted to leverage machine learning as a means to identify the genetic factors that underlie the differentiation of bacteria with multipartite and unipartite genomes.
Date:
November 13, 2023
Creator:
Almalki, Fatemah; Sunuwar, Janak & Azad, Rajeev K.
Object Type:
Article
System:
The UNT Digital Library
A gene network-driven approach to infer novel pathogenicity-associated genes: application to Pseudomonas aeruginosa PAO1
Article describes how within the genome of a pathogen is the information regarding factors responsible for its pathogenicity. the authors of the article developed a novel pipeline that uses standard protocol in combination with gene co-expression network of a pathogen constructed using publicly available RNA-Seq data sets.
Date:
November 3, 2023
Creator:
De, Ronika; Whiteley, Marvin & Aza, Rajeev K.
Object Type:
Article
System:
The UNT Digital Library