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Balachandran, Manavalan(Balachandran, Manavalan) Currently indexed

[School of Medicine / Graduate School of Medicine] - [Physiology]

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Showing results 1 to 20 of 49

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Pub Year	Title	Author(s)
2022	Accelerating bioactive peptide discovery via mutual information-based meta-learning	Balachandran, Manavalan
2022	SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids	Balachandran, Manavalan
2022	Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2	Balachandran, Manavalan, Basith, Shaherin, 이광
2022	STALLION: A stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction	Balachandran, Manavalan, Basith, Shaherin, 이광
2021	SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived information	Balachandran, Manavalan
2021	Mapping the intramolecular communications among different glutamate dehydrogenase states using molecular dynamics	Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2021	Silica-coated magnetic nanoparticles activate microglia and induce neurotoxic d-serine secretion	Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2021	Silica-coated magnetic-nanoparticle-induced cytotoxicity is reduced in microglia by glutathione and citrate identified using integrated omics	Balachandran, Manavalan, Basith, Shaherin, 강엽, 김아영, 백은주, 신태환, 이광
2021	Decrease in membrane fluidity and traction force induced by silica-coated magnetic nanoparticles	Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광, 이다연
2021	Umpred-frl: A new approach for accurate prediction of umami peptides using feature representation learning	Balachandran, Manavalan
2021	BERT4Bitter: A bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides	Balachandran, Manavalan
2021	Integrative machine learning framework for the identification of cell-specific enhancers from the human genome	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
2021	Critical evaluation of web-based DNA N6-methyladenine site prediction tools	Balachandran, Manavalan
2021	Computational prediction of species-specific yeast DNA replication origin via iterative feature representation	Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2021	Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework	Balachandran, Manavalan
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
2020	Extremely-randomized-tree-based Prediction of N(6)-Methyladenosine Sites in Saccharomyces cerevisiae	Balachandran, Manavalan
2020	Metabolome Changes in Cerebral Ischemia	Balachandran, Manavalan, Basith, Shaherin, 신태환, 안정환, 이광

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