Yu-Yen Ou
Orcid: 0000-0002-9894-926X
According to our database1,
Yu-Yen Ou
authored at least 39 papers
between 2003 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Comput. Soc. Syst., February, 2024
2022
An Extensive Examination of Discovering 5-Methylcytosine Sites in Genome-Wide DNA Promoters Using Machine Learning Based Approaches.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Use Chou's 5-Steps Rule With Different Word Embedding Types to Boost Performance of Electron Transport Protein Prediction Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
mCNN-ETC: identifying electron transporters and their functional families by using multiple windows scanning techniques in convolutional neural networks with evolutionary information of protein sequences.
Briefings Bioinform., 2022
2021
GT-Finder: Classify the family of glucose transporters with pre-trained BERT language models.
Comput. Biol. Medicine, 2021
TRP-BERT: Discrimination of transient receptor potential (TRP) channels using contextual representations from deep bidirectional transformer based on BERT.
Comput. Biol. Medicine, 2021
Incorporating a transfer learning technique with amino acid embeddings to efficiently predict N-linked glycosylation sites in ion channels.
Comput. Biol. Medicine, 2021
FAD-BERT: Improved prediction of FAD binding sites using pre-training of deep bidirectional transformers.
Comput. Biol. Medicine, 2021
ActTRANS: Functional classification in active transport proteins based on transfer learning and contextual representations.
Comput. Biol. Chem., 2021
DeepSIRT: A deep neural network for identification of sirtuin targets and their subcellular localizations.
Comput. Biol. Chem., 2021
Addressing data imbalance problems in ligand-binding site prediction using a variational autoencoder and a convolutional neural network.
Briefings Bioinform., 2021
A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information.
Briefings Bioinform., 2021
2020
DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes.
Neurocomputing, 2020
IEEE Access, 2020
A Self-Relevant CNN-SVM Model for Problem Classification in K-12 Question-Driven Learning.
IEEE Access, 2020
2019
DeepIon: Deep learning approach for classifying ion transporters and ion channels from membrane proteins.
J. Comput. Chem., 2019
Using two-dimensional convolutional neural networks for identifying GTP binding sites in Rab proteins.
J. Bioinform. Comput. Biol., 2019
Using Deep Learning Neural Networks and Candlestick Chart Representation to Predict Stock Market.
CoRR, 2019
2018
Incorporating post translational modification information for enhancing the predictive performance of membrane transport proteins.
Comput. Biol. Chem., 2018
DeepEfflux: a 2D convolutional neural network model for identifying families of efflux proteins in transporters.
Bioinform., 2018
2017
Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins.
J. Comput. Chem., 2017
2016
Incorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteins.
BMC Bioinform., 2016
Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs.
BMC Bioinform., 2016
Using Deep Learning with Position Specific Scoring Matrices to Identify Efflux Proteins in Membrane and Transport Proteins.
Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016
2014
Briefings Bioinform., 2014
2011
Prediction of transporter targets using efficient RBF networks with PSSM profiles and biochemical properties.
Bioinform., 2011
2010
Prediction of membrane spanning segments and topology in beta-barrel membrane proteins at better accuracy.
J. Comput. Chem., 2010
Incorporating significant amino acid pairs to identify O-linked glycosylation sites on transmembrane proteins and non-transmembrane proteins.
BMC Bioinform., 2010
Topology Prediction of <i>alpha</i>-Helical and <i>beta</i>-Barrel Transmembrane Proteins Using RBF Networks.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010
2009
Using Efficient RBF Networks to Classify Transport Proteins Based on PSSM Profiles and Biochemical Properties.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
2008
TMBETADISC-RBF: Discrimination of beta-barrel membrane proteins using RBF networks and PSSM profiles.
Comput. Biol. Chem., 2008
2007
Using Efficient RBF Network to Identify Interface Residues Based on PSSM Profiles and Biochemical Properties.
Proceedings of the Pattern Recognition in Bioinformatics, 2007
Prediction of Protein Secondary Structures with a Novel Kernel Density Estimator.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007
Proceedings of the Bioinformatics Research and Development, First International Conference, 2007
2006
Protein disorder prediction by condensed PSSM considering propensity for order or disorder.
BMC Bioinform., 2006
Expediting Model Selection for Support Vector Machines Based on an Advanced Data Reduction Algorithm.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Data classification with radial basis function networks based on a novel kernel density estimation algorithm.
IEEE Trans. Neural Networks, 2005
2003
Proceedings of the IEEE International Conference on Systems, 2003