Publication | Closed Access

iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks

Self-attention Transformer EmbeddingConvolutional Neural NetworkEngineeringMachine LearningDeep LearningData SciencePattern RecognitionFeature LearningBiostatisticsMulti-view FeaturesVideo TransformerSystems BiologyPredicting Antifungal PeptidesBioinformatics