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Ching-Tai Chen

Showing results (1-10 of 28) with videos related to

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Plos One|July 18, 2024
ENCAP: Computational prediction of tumor T cell antigens with ensemble classifiers and diverse sequence featuresJen-Chieh Yu, Kuan Ni, Ching-Tai Chen
Taiwan Journal of Ophthalmology|June 30, 2025
A wandering Ozurdex in the anterior chamberChing-Tai Chen, Shih-Chun Chao, Hung-Yu Lin
BMC Genomics|December 26, 2019
MS2CNN: predicting MS/MS spectrum based on protein sequence using deep convolutional neural networksYang-Ming Lin, Ching-Tai Chen, Jia-Ming Chang
Journal of Proteome Research|August 21, 2019
<i>i</i>HPDM: In Silico Human Proteome Digestion Map with Proteolytic Peptide Analysis and Graphical VisualizationsWai-Kok Choong, Ching-Tai Chen, Jen-Hung Wang, et al.
Scientific Reports|August 29, 2025
IQUP identifies quantitatively unreliable spectra with machine learning for isobaric labeling-based proteomicsYi-Yun Chou, Jing-Chen Yang, Tun-Chu Tsai, et al.
Scientific Reports|February 8, 2022
Calibr improves spectral library search for spectrum-centric analysis of data independent acquisition proteomicsJen-Hung Wang, Wai-Kok Choong, Ching-Tai Chen, et al.
Journal of Bioinformatics and Computational Biology|January 25, 2007
HYPLOSP: a knowledge-based approach to protein local structure predictionChing-Tai Chen, Hsin-Nan Lin, Ting-Yi Sung, et al.
Scientific Reports|August 8, 2025
AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptidesSaptashwa Datta, Jen-Chieh Yu, Yi-Hsiang Lin, et al.
Scientific Reports|June 22, 2024
Improved prediction of anti-angiogenic peptides based on machine learning models and comprehensive features from peptide sequencesYun-Chen Lee, Jen-Chieh Yu, Kuan Ni, et al.
Scientific Reports|August 29, 2023
Improving quantitation accuracy in isobaric-labeling mass spectrometry experiments with spectral library searching and feature-based peptide-spectrum match filterTzu-Yun Kuo, Jen-Hung Wang, Yung-Wen Huang, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Plos One|July 18, 2024
ENCAP: Computational prediction of tumor T cell antigens with ensemble classifiers and diverse sequence featuresJen-Chieh Yu, Kuan Ni, Ching-Tai Chen
Taiwan Journal of Ophthalmology|June 30, 2025
A wandering Ozurdex in the anterior chamberChing-Tai Chen, Shih-Chun Chao, Hung-Yu Lin
BMC Genomics|December 26, 2019
MS2CNN: predicting MS/MS spectrum based on protein sequence using deep convolutional neural networksYang-Ming Lin, Ching-Tai Chen, Jia-Ming Chang
Journal of Proteome Research|August 21, 2019
<i>i</i>HPDM: In Silico Human Proteome Digestion Map with Proteolytic Peptide Analysis and Graphical VisualizationsWai-Kok Choong, Ching-Tai Chen, Jen-Hung Wang, et al.
Scientific Reports|August 29, 2025
IQUP identifies quantitatively unreliable spectra with machine learning for isobaric labeling-based proteomicsYi-Yun Chou, Jing-Chen Yang, Tun-Chu Tsai, et al.
Scientific Reports|February 8, 2022
Calibr improves spectral library search for spectrum-centric analysis of data independent acquisition proteomicsJen-Hung Wang, Wai-Kok Choong, Ching-Tai Chen, et al.
Journal of Bioinformatics and Computational Biology|January 25, 2007
HYPLOSP: a knowledge-based approach to protein local structure predictionChing-Tai Chen, Hsin-Nan Lin, Ting-Yi Sung, et al.
Scientific Reports|August 8, 2025
AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptidesSaptashwa Datta, Jen-Chieh Yu, Yi-Hsiang Lin, et al.
Scientific Reports|June 22, 2024
Improved prediction of anti-angiogenic peptides based on machine learning models and comprehensive features from peptide sequencesYun-Chen Lee, Jen-Chieh Yu, Kuan Ni, et al.
Scientific Reports|August 29, 2023
Improving quantitation accuracy in isobaric-labeling mass spectrometry experiments with spectral library searching and feature-based peptide-spectrum match filterTzu-Yun Kuo, Jen-Hung Wang, Yung-Wen Huang, et al.
Pageof 3