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Yu-Yen Ou

Showing results (1-10 of 66) with videos related to

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Briefings in Bioinformatics|March 26, 2013
Bioinformatics approaches for functional annotation of membrane proteinsM Michael Gromiha, Yu-Yen Ou
Methods (San Diego, Calif.)|October 23, 2023
Integrating Pre-Trained protein language model and multiple window scanning deep learning networks for accurate identification of secondary active transporters in membrane proteinsMuhammad Shahid Malik, Yu-Yen Ou
Journal of Computational Chemistry|March 19, 2019
DeepIon: Deep learning approach for classifying ion transporters and ion channels from membrane proteinsSemmy Wellem Taju, Yu-Yen Ou
BMC Bioinformatics|August 1, 2016
Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairsNguyen-Quoc-Khanh Le, Yu-Yen Ou
Gene|April 19, 2023
Disto-TRP: An approach for identifying transient receptor potential (TRP) channels using structural information generated by AlphaFoldSyed Muazzam Ali Shah, Yu-Yen Ou
BMC Bioinformatics|February 4, 2017
Incorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteinsNguyen-Quoc-Khanh Le, Yu-Yen Ou
Computers in Biology and Medicine|September 11, 2021
TRP-BERT: Discrimination of transient receptor potential (TRP) channels using contextual representations from deep bidirectional transformer based on BERTSyed Muazzam Ali Shah, Yu-Yen Ou
Computational Biology and Chemistry|July 21, 2025
mCNN-GenEfflux: enhanced predicting Efflux protein and their super families by using generative proteins combined with multiple windows convolution neural networksMuhammad Hussain, Yu-Yen Ou, Quang Thai Ho
International Journal of Biological Macromolecules|October 4, 2024
DeepNeoAG: Neoantigen epitope prediction from melanoma antigens using a synergistic deep learning model combining protein language models and multi-window scanning convolutional neural networksCheng-Che Chuang, Yu-Chen Liu, Yu-Yen Ou
Proteomics|October 20, 2023
Recent advances in features generation for membrane protein sequences: From multiple sequence alignment to pre-trained language modelsYu-Yen Ou, Quang-Thai Ho, Heng-Ta Chang
Pageof 7

Showing results (1-10 of 66) with videos related to

Sort By:
Pageof 7
Briefings in Bioinformatics|March 26, 2013
Bioinformatics approaches for functional annotation of membrane proteinsM Michael Gromiha, Yu-Yen Ou
Methods (San Diego, Calif.)|October 23, 2023
Integrating Pre-Trained protein language model and multiple window scanning deep learning networks for accurate identification of secondary active transporters in membrane proteinsMuhammad Shahid Malik, Yu-Yen Ou
Journal of Computational Chemistry|March 19, 2019
DeepIon: Deep learning approach for classifying ion transporters and ion channels from membrane proteinsSemmy Wellem Taju, Yu-Yen Ou
BMC Bioinformatics|August 1, 2016
Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairsNguyen-Quoc-Khanh Le, Yu-Yen Ou
Gene|April 19, 2023
Disto-TRP: An approach for identifying transient receptor potential (TRP) channels using structural information generated by AlphaFoldSyed Muazzam Ali Shah, Yu-Yen Ou
BMC Bioinformatics|February 4, 2017
Incorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteinsNguyen-Quoc-Khanh Le, Yu-Yen Ou
Computers in Biology and Medicine|September 11, 2021
TRP-BERT: Discrimination of transient receptor potential (TRP) channels using contextual representations from deep bidirectional transformer based on BERTSyed Muazzam Ali Shah, Yu-Yen Ou
Computational Biology and Chemistry|July 21, 2025
mCNN-GenEfflux: enhanced predicting Efflux protein and their super families by using generative proteins combined with multiple windows convolution neural networksMuhammad Hussain, Yu-Yen Ou, Quang Thai Ho
International Journal of Biological Macromolecules|October 4, 2024
DeepNeoAG: Neoantigen epitope prediction from melanoma antigens using a synergistic deep learning model combining protein language models and multi-window scanning convolutional neural networksCheng-Che Chuang, Yu-Chen Liu, Yu-Yen Ou
Proteomics|October 20, 2023
Recent advances in features generation for membrane protein sequences: From multiple sequence alignment to pre-trained language modelsYu-Yen Ou, Quang-Thai Ho, Heng-Ta Chang
Pageof 7