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Image Search Results
Journal: PLoS ONE
Article Title: Predictive classifier models built from natural products with antimalarial bioactivity using machine learning approach
doi: 10.1371/journal.pone.0204644
Figure Lengend Snippet: The sequence minimization optimization (SMO) and Random Forest (RF) classifier models showed greater predictive accuracy than the Naïve Bayesian (NB) and Voted Perceptron (VP) classifier models.
Article Snippet: A metanode in the
Techniques: Sequencing
Journal: PLoS ONE
Article Title: Predictive classifier models built from natural products with antimalarial bioactivity using machine learning approach
doi: 10.1371/journal.pone.0204644
Figure Lengend Snippet: Evaluation parameters from the prediction of bioactivity class of an independent NAA test dataset by the four classifier models used in this study.
Article Snippet: A metanode in the
Techniques: Sequencing, Plasmid Preparation