2019 | | A Molecular Dynamics Approach to Explore the Intramolecular Signal Transduction of PPAR-alpha | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
2018 | | AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest | Balachandran, Manavalan, 이광 |
2019 | | AtbPpred: A Robust Sequence-Based Prediction of Anti-Tubercular Peptides Using Extremely Randomized Trees | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
2018 | | Bidirectional Transcriptome Analysis of Rat Bone Marrow-Derived Mesenchymal Stem Cells and Activated Microglia in an In Vitro Coculture System | Balachandran, Manavalan, 이광 |
2018 | | DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest | Balachandran, Manavalan, 이광 |
2018 | | iBCE-EL: A New Ensemble Learning Framework for Improved Linear B-Cell Epitope Prediction | Balachandran, Manavalan, 이광 |
2018 | | iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
2018 | | Integration of metabolomics and transcriptomics in nanotoxicity studies | Balachandran, Manavalan, 모정순, 이광 |
2019 | | Iterative feature representations improve N4-methylcytosine site prediction | Balachandran, Manavalan |
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 |
2019 | | Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
2017 | | MLACP: machine-learning-based prediction of anticancer peptides | Balachandran, Manavalan, 이광 |
2018 | | PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions | Balachandran, Manavalan, 이광 |
2019 | | Prediction of S-nitrosylation sites by integrating support vector machines and random forest | Balachandran, Manavalan |
2019 | | Protein-Carbohydrate Interactions | Balachandran, Manavalan |
2018 | | PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine | Balachandran, Manavalan, 이광 |
2019 | | SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
2019 | | Silica-coated magnetic nanoparticles induce glucose metabolic dysfunction in vitro via the generation of reactive oxygen species | Balachandran, Manavalan, Basith, Shaherin, 박찬배, 신태환, 이광 |