Browsing by Keyword : Computational Biology
Showing results 16 to 28 of 28
Pub Year | | Title | Author(s) |
2018 | | Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy | Balachandran, Manavalan, 신태환, 이광 |
2010 | | Mapping plant interactomes using literature curated and predicted protein-protein interaction data sets. | 이기영 |
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 |
2021 | | NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning | Balachandran, Manavalan |
2018 | | Nonsynonymous Variants in PAX4 and GLP1R Are Associated With Type 2 Diabetes in an East Asian Population | 조남한 |
2021 | | Predicting speech discrimination scores from pure-tone thresholds—A machine learning-based approach using data from 12,697 subjects | 김한태, 장정훈, 정연훈 |
2019 | | Prediction of S-nitrosylation sites by integrating support vector machines and random forest | Balachandran, Manavalan |
2022 | | Recent Trends on the Development of Machine Learning Approaches for the Prediction of Lysine Acetylation Sites | Basith, Shaherin, 이광, 장혜진 |
2019 | | Secretome analysis of patient-derived GBM tumor spheres identifies midkine as a potent therapeutic target | 이진구 |
2021 | | StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides | Balachandran, Manavalan |
2022 | | STALLION: A stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction | Balachandran, Manavalan, Basith, Shaherin, 이광 |
2022 | | THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine Sites | Basith, Shaherin, 이광 |
2021 | | Umpred-frl: A new approach for accurate prediction of umami peptides using feature representation learning | Balachandran, Manavalan |
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