Hasil Pencarian - Ching-Tai Chen

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  1. 1
    ENCAP: Computational prediction of tumor T cell antigens with ensemble classifiers and diverse sequence features.

    ENCAP: Computational prediction of tumor T cell antigens with ensemble classifiers and diverse sequence features. oleh Jen-Chieh Yu, Kuan Ni, Ching-Tai Chen

    Diterbitkan 2024-01-01
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  2. 2
    MS2CNN: predicting MS/MS spectrum based on protein sequence using deep convolutional neural networks

    MS2CNN: predicting MS/MS spectrum based on protein sequence using deep convolutional neural networks oleh Yang-Ming Lin, Ching-Tai Chen, Jia-Ming Chang

    Diterbitkan 2019-12-01
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  3. 3
    Calibr improves spectral library search for spectrum-centric analysis of data independent acquisition proteomics

    Calibr improves spectral library search for spectrum-centric analysis of data independent acquisition proteomics oleh Jen-Hung Wang, Wai-Kok Choong, Ching-Tai Chen, Ting-Yi Sung

    Diterbitkan 2022-02-01
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  4. 4
    Improved prediction of anti-angiogenic peptides based on machine learning models and comprehensive features from peptide sequences

    Improved prediction of anti-angiogenic peptides based on machine learning models and comprehensive features from peptide sequences oleh Yun-Chen Lee, Jen-Chieh Yu, Kuan Ni, Yu-Chuan Lin, Ching-Tai Chen

    Diterbitkan 2024-06-01
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  5. 5
    Improving quantitation accuracy in isobaric-labeling mass spectrometry experiments with spectral library searching and feature-based peptide-spectrum match filter

    Improving quantitation accuracy in isobaric-labeling mass spectrometry experiments with spectral library searching and feature-based peptide-spectrum match filter oleh Tzu-Yun Kuo, Jen-Hung Wang, Yung-Wen Huang, Ting-Yi Sung, Ching-Tai Chen

    Diterbitkan 2023-08-01
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  6. 6
    iMet-Q: A User-Friendly Tool for Label-Free Metabolomics Quantitation Using Dynamic Peak-Width Determination.

    iMet-Q: A User-Friendly Tool for Label-Free Metabolomics Quantitation Using Dynamic Peak-Width Determination. oleh Hui-Yin Chang, Ching-Tai Chen, T Mamie Lih, Ke-Shiuan Lynn, Chiun-Gung Juo, Wen-Lian Hsu, Ting-Yi Sung

    Diterbitkan 2016-01-01
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  7. 7
    Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study

    Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study oleh You-Qian Lee, Ching-Tai Chen, Chien-Chang Chen, Chung-Hong Lee, Peitsz Chen, Chi-Shin Wu, Hong-Jie Dai

    Diterbitkan 2024-01-01
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  8. 8
    Multi-Q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage

    Multi-Q 2 software facilitates isobaric labeling quantitation analysis with improved accuracy and coverage oleh Ching-Tai Chen, Jen-Hung Wang, Cheng-Wei Cheng, Wei-Che Hsu, Chu-Ling Ko, Wai-Kok Choong, Ting-Yi Sung

    Diterbitkan 2021-01-01
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  9. 9
    Protein-protein interaction site predictions with three-dimensional probability distributions of interacting atoms on protein surfaces.

    Protein-protein interaction site predictions with three-dimensional probability distributions of interacting atoms on protein surfaces. oleh Ching-Tai Chen, Hung-Pin Peng, Jhih-Wei Jian, Keng-Chang Tsai, Jeng-Yih Chang, Ei-Wen Yang, Jun-Bo Chen, Shinn-Ying Ho, Wen-Lian Hsu, An-Suei Yang

    Diterbitkan 2012-01-01
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  10. 10
    Prediction of carbohydrate binding sites on protein surfaces with 3-dimensional probability density distributions of interacting atoms.

    Prediction of carbohydrate binding sites on protein surfaces with 3-dimensional probability density distributions of interacting atoms. oleh Keng-Chang Tsai, Jhih-Wei Jian, Ei-Wen Yang, Po-Chiang Hsu, Hung-Pin Peng, Ching-Tai Chen, Jun-Bo Chen, Jeng-Yih Chang, Wen-Lian Hsu, An-Suei Yang

    Diterbitkan 2012-01-01
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  11. 11
    Rationalization and design of the complementarity determining region sequences in an antibody-antigen recognition interface.

    Rationalization and design of the complementarity determining region sequences in an antibody-antigen recognition interface. oleh Chung-Ming Yu, Hung-Pin Peng, Ing-Chien Chen, Yu-Ching Lee, Jun-Bo Chen, Keng-Chang Tsai, Ching-Tai Chen, Jeng-Yih Chang, Ei-Wen Yang, Po-Chiang Hsu, Jhih-Wei Jian, Hung-Ju Hsu, Hung-Ju Chang, Wen-Lian Hsu, Kai-Fa Huang, Alex Che Ma, An-Suei Yang

    Diterbitkan 2012-01-01
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