Rezultati - Lin, Chih-Hsu

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  1. 1
    Using interpretable deep learning to model cancer dependencies

    Using interpretable deep learning to model cancer dependencies od Lin, Chih-Hsu, Lichtarge, Olivier

    Izdano 2021
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  2. 2
    Discovery of disease- and drug-specific pathways through community structures of a literature network

    Discovery of disease- and drug-specific pathways through community structures of a literature network od Pham, Minh, Wilson, Stephen, Govindarajan, Harikumar, Lin, Chih-Hsu, Lichtarge, Olivier

    Izdano 2020
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  3. 3
    Discovery of disease- and drug-specific pathways through community structures of a literature network

    Discovery of disease- and drug-specific pathways through community structures of a literature network od Pham, Minh, Wilson, Stephen, Govindarajan, Harikumar, Lin, Chih-Hsu, Lichtarge, Olivier

    Izdano 2020
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  4. 4
    Examining the condition-specific antisense transcription in S. cerevisiae and S. paradoxus

    Examining the condition-specific antisense transcription in S. cerevisiae and S. paradoxus od Swamy, Krishna B S, Lin, Chih-Hsu, Yen, Ming-Ren, Wang, Chuen-Yi, Wang, Daryi

    Izdano 2014
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  5. 5
    DISCOVERY OF FUNCTIONAL AND DISEASE PATHWAYS BY COMMUNITY DETECTION IN PROTEIN-PROTEIN INTERACTION NETWORKS

    DISCOVERY OF FUNCTIONAL AND DISEASE PATHWAYS BY COMMUNITY DETECTION IN PROTEIN-PROTEIN INTERACTION NETWORKS od WILSON, STEPHEN J., WILKINS, ANGELA D., LIN, CHIH-HSU, LUA, RHONALD C., LICHTARGE, OLIVIER

    Izdano 2016
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  6. 6
    Evolution of cis-regulatory elements in yeast de novo and duplicated new genes

    Evolution of cis-regulatory elements in yeast de novo and duplicated new genes od Tsai, Zing Tsung-Yeh, Tsai, Huai-Kuang, Cheng, Jen-Hao, Lin, Chih-Hsu, Tsai, Yuan-Fan, Wang, Daryi

    Izdano 2012
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  7. 7
    A quantitative model for the rate-limiting process of UGA alternative assignments to stop and selenocysteine codons

    A quantitative model for the rate-limiting process of UGA alternative assignments to stop and selenocysteine codons od Chen, Yen-Fu, Lin, Hsiu-Chuan, Chuang, Kai-Neng, Lin, Chih-Hsu, Yen, Hsueh-Chi S., Yeang, Chen-Hsiang

    Izdano 2017
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  8. 8
    Multimodal network diffusion predicts future disease–gene–chemical associations

    Multimodal network diffusion predicts future disease–gene–chemical associations od Lin, Chih-Hsu, Konecki, Daniel M, Liu, Meng, Wilson, Stephen J, Nassar, Huda, Wilkins, Angela D, Gleich, David F, Lichtarge, Olivier

    Izdano 2019
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  9. 9
    A general calculus of fitness landscapes finds genes under selection in cancers

    A general calculus of fitness landscapes finds genes under selection in cancers od Hsu, Teng-Kuei, Asmussen, Jennifer, Koire, Amanda, Choi, Byung-Kwon, Gadhikar, Mayur A., Huh, Eunna, Lin, Chih-Hsu, Konecki, Daniel M., Kim, Young Won, Pickering, Curtis R., Kimmel, Marek, Donehower, Lawrence A., Frederick, Mitchell J., Myers, Jeffrey N., Katsonis, Panagiotis, Lichtarge, Olivier

    Izdano 2022
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