HIGHLIGHTS
- who: Muhammad Nabeel Asim and colleagues from the Department of Computer Science, Technical University of Kaiserslautern, Kaiserslautern, Germany have published the Article: Circ-LocNet: A Computational Framework for Circular RNA Sub-Cellular Localization Prediction, in the Journal: (JOURNAL)
- what: For inference, among all binary classification models, the model with the highest confidence is used. Considering the dominant utilization of Gaussian kernel density, in the experimentation , the authors implement Gaussian Naive Bayes method for circRNA sub-cellular localization prediction task. Considering the effectiveness and wide adoption of accuracy (ACC), specificity (SP), F1-score, matthews correlation coefficient . . .
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