Hasil Pencarian - Eric P Xing

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  1. 1
    Statistical estimation of correlated genome associations to a quantitative trait network.

    Statistical estimation of correlated genome associations to a quantitative trait network. oleh Seyoung Kim, Eric P Xing

    Diterbitkan 2009-08-01
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  2. 2
    GINI: from ISH images to gene interaction networks.

    GINI: from ISH images to gene interaction networks. oleh Kriti Puniyani, Eric P Xing

    Diterbitkan 2013-01-01
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  3. 3
    Toward a 'Standard Model' of Machine Learning

    Toward a 'Standard Model' of Machine Learning oleh Zhiting Hu, Eric P. Xing

    Diterbitkan 2022-10-01
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  4. 4
    Strategies and Principles of Distributed Machine Learning on Big Data

    Strategies and Principles of Distributed Machine Learning on Big Data oleh Eric P. Xing, Qirong Ho, Pengtao Xie, Dai Wei

    Diterbitkan 2016-06-01
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  5. 5
    CSMET: comparative genomic motif detection via multi-resolution phylogenetic shadowing.

    CSMET: comparative genomic motif detection via multi-resolution phylogenetic shadowing. oleh Pradipta Ray, Suyash Shringarpure, Mladen Kolar, Eric P Xing

    Diterbitkan 2008-06-01
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  6. 6
    Discovering weaker genetic associations guided by known associations

    Discovering weaker genetic associations guided by known associations oleh Haohan Wang, Michael M. Vanyukov, Eric P. Xing, Wei Wu

    Diterbitkan 2020-02-01
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  7. 7
    Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies

    Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies oleh Haohan Wang, Tianwei Yue, Jingkang Yang, Wei Wu, Eric P. Xing

    Diterbitkan 2019-12-01
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  8. 8
    Diffusion of lexical change in social media.

    Diffusion of lexical change in social media. oleh Jacob Eisenstein, Brendan O'Connor, Noah A Smith, Eric P Xing

    Diterbitkan 2014-01-01
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  9. 9
    Towards an Integration of Text and Graph Clustering Methods as a Lens for Studying Social Interaction in MOOCs

    Towards an Integration of Text and Graph Clustering Methods as a Lens for Studying Social Interaction in MOOCs oleh Diyi Yang, Miaomiao Wen, Abhimanu Kumar, Eric P. Xing, Carolyn Penstein Rosé

    Diterbitkan 2014-11-01
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  10. 10
    Towards an integration of text and graph clustering methods as a lens for studying social interaction in MOOCs

    Towards an integration of text and graph clustering methods as a lens for studying social interaction in MOOCs oleh Diyi Yang, Miaomiao Wen, Abhimanu Kumar, Eric P. Xing, Carolyn Penstein Rose

    Diterbitkan 2014-10-01
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  11. 11
    Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species.

    Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species. oleh Yumin Zheng, Haohan Wang, Yang Zhang, Xin Gao, Eric P Xing, Min Xu

    Diterbitkan 2020-11-01
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  12. 12
    Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets

    Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets oleh Haohan Wang, Fen Pei, Michael M. Vanyukov, Ivet Bahar, Wei Wu, Eric P. Xing

    Diterbitkan 2021-02-01
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  13. 13
    Network analysis of breast cancer progression and reversal using a tree-evolving network algorithm.

    Network analysis of breast cancer progression and reversal using a tree-evolving network algorithm. oleh Ankur P Parikh, Ross E Curtis, Irene Kuhn, Sabine Becker-Weimann, Mina Bissell, Eric P Xing, Wei Wu

    Diterbitkan 2014-07-01
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  14. 14
    GWAS in a box: statistical and visual analytics of structured associations via GenAMap.

    GWAS in a box: statistical and visual analytics of structured associations via GenAMap. oleh Eric P Xing, Ross E Curtis, Georg Schoenherr, Seunghak Lee, Junming Yin, Kriti Puniyani, Wei Wu, Peter Kinnaird

    Diterbitkan 2014-01-01
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  15. 15
    Technology readiness levels for machine learning systems

    Technology readiness levels for machine learning systems oleh Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Sujoy Ganguly, Danny Lange, Atílím Güneş Baydin, Amit Sharma, Adam Gibson, Stephan Zheng, Eric P. Xing, Chris Mattmann, James Parr, Yarin Gal

    Diterbitkan 2022-10-01
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