PVPred-SCM: Improved Prediction and Analysis of Phage Virion Proteins Using a Scoring Card Method

PVPred-SCM: Improved Prediction and Analysis of Phage Virion Proteins Using a Scoring Card Method

Although, existing methods have been successful in predicting phage (or bacteriophage) virion proteins (PVPs) using various types of protein features and complex classifiers, such as support vector machine and naïve Bayes, these two methods do not allow interpretability. However, the charac...

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Bibliographic Details
Main Authors: Phasit Charoenkwan, Sakawrat Kanthawong, Nalini Schaduangrat, Janchai Yana, Watshara Shoombuatong
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Cells
Subjects:
phage virion protein
scoring card method
propensity score
interpretable model
physicochemical properties
machine learning
Online Access:https://www.mdpi.com/2073-4409/9/2/353

Internet

https://www.mdpi.com/2073-4409/9/2/353

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