Data classification with radial basis function networks based on a novel kernel density estimation algorithm YJ Oyang, SC Hwang, YY Ou, CY Chen, ZW Chen IEEE transactions on neural networks 16 (1), 225-236, 2005 | 233 | 2005 |
Advantages and constraints of a hybrid model K-12 E-Learning assistant chatbot EHK Wu, CH Lin, YY Ou, CZ Liu, WK Wang, CY Chao Ieee Access 8, 77788-77801, 2020 | 178 | 2020 |
A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information NQK Le, QT Ho, TTD Nguyen, YY Ou Briefings in bioinformatics 22 (5), bbab005, 2021 | 131 | 2021 |
iEnhancer-5Step: identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding NQK Le, EKY Yapp, QT Ho, N Nagasundaram, YY Ou, HY Yeh Analytical biochemistry 571, 53-61, 2019 | 131 | 2019 |
Protein disorder prediction by condensed PSSM considering propensity for order or disorder CT Su, CY Chen, YY Ou Bmc Bioinformatics 7, 1-16, 2006 | 120 | 2006 |
TMBETADISC-RBF: discrimination of β-barrel membrane proteins using RBF networks and PSSM profiles YY Ou, MM Gromiha, SA Chen, M Suwa Computational biology and chemistry 32 (3), 227-231, 2008 | 100 | 2008 |
Incorporating distant sequence features and radial basis function networks to identify ubiquitin conjugation sites TY Lee, SA Chen, HY Hung, YY Ou PloS one 6 (3), e17331, 2011 | 98 | 2011 |
Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins NQK Le, QT Ho, YY Ou Journal of Computational Chemistry 38 (23), 2000-2006, 2017 | 91 | 2017 |
Prediction of transporter targets using efficient RBF networks with PSSM profiles and biochemical properties SA Chen, YY Ou, TY Lee, MM Gromiha Bioinformatics 27 (15), 2062-2067, 2011 | 85 | 2011 |
Classification of transporters using efficient radial basis function networks with position‐specific scoring matrices and biochemical properties YY Ou, SA Chen, MM Gromiha Proteins: Structure, Function, and Bioinformatics 78 (7), 1789-1797, 2010 | 68 | 2010 |
iMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step rule NQK Le, EKY Yapp, YY Ou, HY Yeh Analytical biochemistry 575, 17-26, 2019 | 64 | 2019 |
Classifying the molecular functions of Rab GTPases in membrane trafficking using deep convolutional neural networks NQK Le, QT Ho, YY Ou Analytical biochemistry 555, 33-41, 2018 | 63 | 2018 |
Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs NQK Le, YY Ou BMC bioinformatics 17 (1), 298, 2016 | 62 | 2016 |
Using deep learning neural networks and candlestick chart representation to predict stock market RMI Kusuma, TT Ho, WC Kao, YY Ou, KL Hua arXiv preprint arXiv:1903.12258, 2019 | 60 | 2019 |
DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes NQK Le, QT Ho, EKY Yapp, YY Ou, HY Yeh Neurocomputing 375, 71-79, 2020 | 57 | 2020 |
Identifying the molecular functions of electron transport proteins using radial basis function networks and biochemical properties NQK Le, TTD Nguyen, YY Ou Journal of Molecular Graphics and Modelling 73, 166-178, 2017 | 56 | 2017 |
Bioinformatics approaches for functional annotation of membrane proteins MM Gromiha, YY Ou Briefings in bioinformatics 15 (2), 155-168, 2014 | 55 | 2014 |
Prediction of membrane spanning segments and topology in β‐barrel membrane proteins at better accuracy Y Ou, S Chen, MM Gromiha Journal of computational chemistry 31 (1), 217-223, 2010 | 53 | 2010 |
Incorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteins NQK Le, YY Ou BMC bioinformatics 17 (19), 183-192, 2016 | 44 | 2016 |
Incorporating significant amino acid pairs to identify O-linked glycosylation sites on transmembrane proteins and non-transmembrane proteins SA Chen, TY Lee, YY Ou Bmc Bioinformatics 11, 1-13, 2010 | 41 | 2010 |