Browsing by Keyword : Support Vector Machine
Showing results 1 to 10 of 10
| Pub Year | | Title | AJOU Author(s) |
| 2021 | | Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework | Balachandran, Manavalan |
| 2015 | | Data Management and Site-Visit Monitoring of the Multi-Center Registry in the Korean Neonatal Network. | 박문성 |
| 2018 | | Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy | Balachandran, Manavalan, 신태환, 이광 |
| 2019 | | mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides | Balachandran, Manavalan, 이광 |
| 2019 | | mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2021 | | Meta-i6mA: An interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2016 | | Nomogram of Naive Bayesian Model for Recurrence Prediction of Breast Cancer | 박래웅 |
| 2019 | | Prediction of S-nitrosylation sites by integrating support vector machines and random forest | Balachandran, Manavalan |
| 2017 | | Quad-phased data mining modeling for dementia diagnosis | 손상준, 홍창형 |
| 2021 | | Umpred-frl: A new approach for accurate prediction of umami peptides using feature representation learning | Balachandran, Manavalan |
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