Browsing by AJOU Author : Balachandran, Manavalan

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Showing results 1 to 20 of 20

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