2022 IEEE 3rd International Conference on System Analysis &Amp; Intelligent Computing (SAIC) 2022
DOI: 10.1109/saic57818.2022.9922979
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O-glycosylation Site Prediction Using Randome Forest Importance and Support Vector Machine

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“…Then, for research by Chien et al, (2020), the study's results showed an accuracy rate for Post Translational Modification (PTM) glycosylation on sequence O independent data of 94.6%. Furthermore, this study also outperformed research (Alkuhlani et al, 2023). This study discusses independent data on o-glycosylation with an accuracy of 77.86%.…”
Section: Performance Evaluationmentioning
confidence: 69%
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“…Then, for research by Chien et al, (2020), the study's results showed an accuracy rate for Post Translational Modification (PTM) glycosylation on sequence O independent data of 94.6%. Furthermore, this study also outperformed research (Alkuhlani et al, 2023). This study discusses independent data on o-glycosylation with an accuracy of 77.86%.…”
Section: Performance Evaluationmentioning
confidence: 69%
“…The previous study demonstrated a glycosylation projection accuracy of 77-86%. (Alkuhlani et al, 2023). Additionally, the study also rectified O-glycosylation, giving a 90.7% accuracy rate (Li et al, 2015).…”
Section: Introductionmentioning
confidence: 95%