Investigating the Impact of Gene Cofunctionality in Predicting Gene Mutations of <italic>E. coli</italic>

Investigating the Impact of Gene Cofunctionality in Predicting Gene Mutations of <italic>E. coli</italic>

Machine learning algorithms (MLAs) have recently been applied to predict gene mutations of Escherichia coli (E. coli) under different exposure conditions, with room for improvement in performance. In a bid to improve performance, we hypothesize that incorporating the interactions between genes will...

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Bibliographic Details
Main Authors: Michael Okwori, Ali Eslami
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Mutation prediction
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">E. coli</italic> gene interactions
feature selection
machine learning
artificial neural network
support vector classifier
Online Access:https://ieeexplore.ieee.org/document/9195469/

Internet

https://ieeexplore.ieee.org/document/9195469/

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