Követés
Yu-Yen Ou
Yu-Yen Ou
Professor, Department of Computer Science and Engineering, Yuan-Ze University
E-mail megerősítve itt: saturn.yzu.edu.tw
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
2332005
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
1482020
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
1262019
Protein disorder prediction by condensed PSSM considering propensity for order or disorder
CT Su, CY Chen, YY Ou
Bmc Bioinformatics 7, 1-16, 2006
1202006
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
1182021
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
982008
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
932011
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
892017
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
832011
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
672010
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
632019
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
622018
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
602016
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
562019
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
552020
Bioinformatics approaches for functional annotation of membrane proteins
MM Gromiha, YY Ou
Briefings in bioinformatics 15 (2), 155-168, 2014
552014
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
532010
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
492017
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
412010
FAD-BERT: Improved Prediction of FAD Binding Sites Using Pre-training of Deep Bidirectional Transformers
QT Ho, NQK Le, TTD Nguyen, YY Ou
Computers in Biology and Medicine, 104258, 2021
382021
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20