Browsing "Physiology" by Journal : Briefings in bioinformatics
Showing results 1 to 10 of 10
| Pub Year | | Title | Author(s) |
| 2022 | | Accelerating bioactive peptide discovery via mutual information-based meta-learning | Balachandran, Manavalan |
| 2022 | | Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2 | Balachandran, Manavalan, Basith, Shaherin, 이광 |
| 2021 | | Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework | Balachandran, Manavalan |
| 2021 | | Computational prediction of species-specific yeast DNA replication origin via iterative feature representation | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2020 | | Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools | Balachandran, Manavalan |
| 2021 | | Integrative machine learning framework for the identification of cell-specific enhancers from the human genome | Balachandran, Manavalan, Basith, Shaherin, 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 |
| 2021 | | NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning | Balachandran, Manavalan |
| 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 |
1
