Browsing by Keyword : Support Vector Machine

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Showing results 1 to 10 of 10

Pub YearTitleAJOU Author(s)
2021Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking frameworkBalachandran, Manavalan
2015Data Management and Site-Visit Monitoring of the Multi-Center Registry in the Korean Neonatal Network.박문성
2018Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved AccuracyBalachandran, Manavalan, 신태환, 이광
2019mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer PeptidesBalachandran, Manavalan, 이광
2019mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representationBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2021Meta-i6mA: An interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning frameworkBalachandran, Manavalan, Basith, Shaherin, 이광
2016Nomogram of Naive Bayesian Model for Recurrence Prediction of Breast Cancer박래웅
2019Prediction of S-nitrosylation sites by integrating support vector machines and random forestBalachandran, Manavalan
2017Quad-phased data mining modeling for dementia diagnosis손상준, 홍창형
2021Umpred-frl: A new approach for accurate prediction of umami peptides using feature representation learningBalachandran, Manavalan
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