Yu-Yen Ou

发表

A Study of Supervised Learning with Multivariate Analysis on Unbalanced Datasets

Yen-Jen Oyang, Yu-Yen Ou, Hao-Geng Hung, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Prediction of protein secondary structures with a novel kernel density estimation based classifier

Yen-Jen Oyang, Yu-Yen Ou, Hao-Geng Hung, 2008, BMC Research Notes.

Use Chou's 5-steps rule with different word embedding types to boost performance of electron transport protein prediction model.

Yu-Yen Ou, Duong Nguyen, Thai Ho-Quang, 2020, IEEE/ACM transactions on computational biology and bioinformatics.

TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings

Yu-Yen Ou, Nguyen-Quoc-Khanh Le, Trinh-Trung-Duong Nguyen, 2019, BMC Medical Genomics.

Expediting model selection for Support Vector Machines based on data reduction

Yen-Jen Oyang, Yu-Yen Ou, Chien-Yu Chen, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings

Yu-Yen Ou, Nguyen-Quoc-Khanh Le, Trinh-Trung-Duong Nguyen, 2020, BMC medical genomics.

Classifying the molecular functions of Rab GTPases in membrane trafficking using deep convolutional neural networks.

Yu-Yen Ou, Nguyen-Quoc-Khanh Le, Quang-Thai Ho, 2018, Analytical biochemistry.

iMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step rule.

Yu-Yen Ou, Nguyen Quoc Khanh Le, Edward Kien Yee Yapp, 2019, Analytical biochemistry.

Advantages and Constraints of a Hybrid Model K-12 E-Learning Assistant Chatbot

Yu-Yen Ou, Chun-Han Lin, Eric Hsiao-Kuang Wu, 2020, IEEE Access.

Incorporating post translational modification information for enhancing the predictive performance of membrane transport proteins

Yu-Yen Ou, Nguyen-Quoc-Khanh Le, Green Arther Sandag, 2018, Comput. Biol. Chem..

Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs

Yu-Yen Ou, Nguyen-Quoc-Khanh Le, Yu-Yen Ou, 2016, BMC Bioinformatics.

Prediction of membrane spanning segments and topology in β‐barrel membrane proteins at better accuracy

Yu-Yen Ou, M. Michael Gromiha, Shu-An Chen, 2010, J. Comput. Chem..

iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding.

Yu-Yen Ou, Nguyen Quoc Khanh Le, Edward Kien Yee Yapp, 2019, Analytical biochemistry.

Enhancing Protein Disorder Detection by Refined Secondary Structure Prediction

Yen-Jen Oyang, Yu-Yen Ou, Chien-Yu Chen, 2007, BIRD.

Protein disorder prediction by condensed PSSM considering propensity for order or disorder

Yu-Yen Ou, Chien-Yu Chen, Chung-Tsai Su, 2006, BMC Bioinformatics.

Prediction of transporter targets using efficient RBF networks with PSSM profiles and biochemical properties

Yu-Yen Ou, M. Michael Gromiha, Tzong-Yi Lee, 2011, Bioinform..

Prediction of Protein Secondary Structures with a Novel Kernel Density Estimator

Yen-Jen Oyang, Yu-Yen Ou, Hao-Geng Hung, 2007, MLMTA.

Incorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteins

Yu-Yen Ou, Nguyen-Quoc-Khanh Le, Yu-Yen Ou, 2016, BMC Bioinformatics.

Expediting Model Selection for Support Vector Machines Based on an Advanced Data Reduction Algorithm

Yen-Jen Oyang, Yu-Yen Ou, Guan-Hau Chen, 2006, PRICAI.

A Self-Relevant CNN-SVM Model for Problem Classification in K-12 Question-Driven Learning

Yu-Yen Ou, Min-Te Sun, Eric Hsiao-Kuang Wu, 2020, IEEE Access.

DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes

Yu-Yen Ou, Nguyen Quoc Khanh Le, Edward Kien Yee Yapp, 2020, Neurocomputing.

Using Deep Learning Neural Networks and Candlestick Chart Representation to Predict Stock Market pdf

Yu-Yen Ou, Kai-Lung Hua, Wei-Chun Kao, 2019, ArXiv.

Topology Prediction of alpha-Helical and beta-Barrel Transmembrane Proteins Using RBF Networks

Yu-Yen Ou, M. Michael Gromiha, Shu-An Chen, 2010, ICIC.

Incorporating significant amino acid pairs to identify O-linked glycosylation sites on transmembrane proteins and non-transmembrane proteins

Yu-Yen Ou, Tzong-Yi Lee, Shu-An Chen, 2010, BMC Bioinformatics.

Using Efficient RBF Network to Identify Interface Residues Based on PSSM Profiles and Biochemical Properties

Yu-Yen Ou, Hao-Geng Hung, Shu-An Chen, 2007, PRIB.

Using Efficient RBF Networks to Classify Transport Proteins Based on PSSM Profiles and Biochemical Properties

Yu-Yen Ou, Shu-An Chen, Yu-Yen Ou, 2009, IWANN.

Bioinformatics approaches for functional annotation of membrane proteins

Yu-Yen Ou, M. Michael Gromiha, M. Gromiha, 2014, Briefings Bioinform..

Using Deep Learning with Position Specific Scoring Matrices to Identify Efflux Proteins in Membrane and Transport Proteins

Yu-Yen Ou, Nguyen-Quoc-Khanh Le, Semmy Wellem Taju, 2016, 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE).

Using two-dimensional convolutional neural networks for identifying GTP binding sites in Rab proteins

Yu-Yen Ou, Nguyen-Quoc-Khanh Le, Quang-Thai Ho, 2019, J. Bioinform. Comput. Biol..

DeepEfflux: a 2D convolutional neural network model for identifying families of efflux proteins in transporters

Yu-Yen Ou, Nguyen-Quoc-Khanh Le, Trinh-Trung-Duong Nguyen, 2018, Bioinform..

Using word embedding technique to efficiently represent protein sequences for identifying substrate specificities of transporters.

Yu-Yen Ou, Nguyen-Quoc-Khanh Le, Trinh-Trung-Duong Nguyen, 2019, Analytical biochemistry.

DeepIon: Deep learning approach for classifying ion transporters and ion channels from membrane proteins

Yu-Yen Ou, Semmy Wellem Taju, Yu-Yen Ou, 2019, J. Comput. Chem..

TMBETADISC-RBF: Discrimination of beta-barrel membrane proteins using RBF networks and PSSM profiles

Yu-Yen Ou, M. Michael Gromiha, Makiko Suwa, 2008, Comput. Biol. Chem..

Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins

Yu-Yen Ou, Nguyen-Quoc-Khanh Le, Quang-Thai Ho, 2017, J. Comput. Chem..

Data classification with radial basis function networks based on a novel kernel density estimation algorithm

Yen-Jen Oyang, Yu-Yen Ou, Chien-Yu Chen, 2005, IEEE Transactions on Neural Networks.

GT-Finder: Classify the family of glucose transporters with pre-trained BERT language models

Yu-Yen Ou, Trinh-Trung-Duong Nguyen, Quang-Thai Ho, 2021, Comput. Biol. Medicine.

TRP-BERT: Discrimination of transient receptor potential (TRP) channels using contextual representations from deep bidirectional transformer based on BERT

Yu-Yen Ou, Syed Muazzam Ali Shah, Yu-Yen Ou, 2021, Comput. Biol. Medicine.

ActTRANS: Functional classification in active transport proteins based on transfer learning and contextual representations

Yu-Yen Ou, Semmy Wellem Taju, Syed Muazzam Ali Shah, 2021, Comput. Biol. Chem..

DeepSIRT: A deep neural network for identification of sirtuin targets and their subcellular localizations

Yu-Yen Ou, Semmy Wellem Taju, Syed Muazzam Ali Shah, 2021, Comput. Biol. Chem..

Using k-mer Embeddings Learned from a Skip-Gram Based Neural Network as Effective Feature Representation for Building a Cross-Species Prediction Model to Identify DNA N6-Methyladenine Sites in Plant Genomes

Yu-Yen Ou, Nguyen Quoc Khanh Le, Duong Nguyen Trinh Trung, 2021 .

A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information

Yu-Yen Ou, Trinh-Trung-Duong Nguyen, Quang-Thai Ho, 2021, Briefings Bioinform..

Incorporating a transfer learning technique with amino acid embeddings to efficiently predict N-linked glycosylation sites in ion channels

Yu-Yen Ou, Trinh-Trung-Duong Nguyen, Nguyen-Quoc-Khanh Le, 2021, Comput. Biol. Medicine.

FAD-BERT: Improved prediction of FAD binding sites using pre-training of deep bidirectional transformers

Yu-Yen Ou, Trinh-Trung-Duong Nguyen, Quang-Thai Ho, 2021, Comput. Biol. Medicine.

Structural and Functional Discrimination of Membrane Proteins

Yu-Yen Ou, M. Michael Gromiha, Shu-An Chen, 2011 .

Data classification with a relaxed model of variable kernel density estimation

Yen-Jen Oyang, Yu-Yen Ou, Chien-Yu Chen, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Identification of efflux proteins using efficient radial basis function networks with position‐specific scoring matrices and biochemical properties

Yu-Yen Ou, Shu-An Chen, Devadasan Velmurugan, 2013, Proteins.

Prediction of ATP-binding sites in membrane proteins using a two-dimensional convolutional neural network.

Yu-Yen Ou, Trinh-Trung-Duong Nguyen, Rosdyana Mangir Irawan Kusuma, 2019, Journal of molecular graphics & modelling.