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UnknownUMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning.
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S-EPMC8658322 | biostudies-literature
UnknowniBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features.
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S-EPMC8396555 | biostudies-literature
UnknownSCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins.
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S-EPMC8904530 | biostudies-literature
UnknownStackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens.
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S-EPMC10386778 | biostudies-literature
UnknownActive Stacking-Deep Learning with Strategic Sampling for Small and Imbalanced Chemical Toxicity Prediction.
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S-EPMC12631473 | biostudies-literature
UnknownStackER: a novel SMILES-based stacked approach for the accelerated and efficient discovery of ERα and ERβ antagonists.
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S-EPMC10752908 | biostudies-literature
UnknownA novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides.
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S-EPMC8664844 | biostudies-literature
UnknownLeveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction.
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S-EPMC10891130 | biostudies-literature
UnknownPrediction of aromatase inhibitory activity using the efficient linear method (ELM).
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S-EPMC4614109 | biostudies-literature
UnknownPSR-MAPMS: A new approach for the interpretable prediction of myelin autoantigenic peptides in multiple sclerosis using multi-source propensity scores.
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S-EPMC12268379 | biostudies-literature
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