檢索結果 - Ziv-Bar Joseph

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  1. 1
    STEM: a tool for the analysis of short time series gene expression data

    STEM: a tool for the analysis of short time series gene expression data 由 Jason Ernst, Ziv Bar‐Joseph

    出版 2006
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  2. 2
    Algorithms in nature: the convergence of systems biology and computational thinking

    Algorithms in nature: the convergence of systems biology and computational thinking 由 Saket Navlakha, Ziv Bar‐Joseph

    出版 2011
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  3. 3
    Deep learning for inferring gene relationships from single-cell expression data

    Deep learning for inferring gene relationships from single-cell expression data 由 Ye Yuan, Ziv Bar‐Joseph

    出版 2019
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  4. 4
    GCNG: graph convolutional networks for inferring gene interaction from spatial transcriptomics data

    GCNG: graph convolutional networks for inferring gene interaction from spatial transcriptomics data 由 Ye Yuan, Ziv Bar‐Joseph

    出版 2020
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  5. 5
    Integrating sequence, expression and interaction data to determine condition-specific miRNA regulation

    Integrating sequence, expression and interaction data to determine condition-specific miRNA regulation 由 Hai-Son Le, Ziv Bar‐Joseph

    出版 2013
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  6. 6
    Continuous-state HMMs for modeling time-series single-cell RNA-Seq data

    Continuous-state HMMs for modeling time-series single-cell RNA-Seq data 由 Chieh Hubert Lin, Ziv Bar‐Joseph

    出版 2019
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  7. 7
    Cross species analysis of microarray expression data

    Cross species analysis of microarray expression data 由 Yong Lu, Peter Huggins, Ziv Bar‐Joseph

    出版 2009
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  8. 8
    Identifying signaling genes in spatial single-cell expression data

    Identifying signaling genes in spatial single-cell expression data 由 Dongshunyi Li, Jun Ding, Ziv Bar‐Joseph

    出版 2020
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  9. 9
    Clustering spatial transcriptomics data

    Clustering spatial transcriptomics data 由 Haotian Teng, Ye Yuan, Ziv Bar‐Joseph

    出版 2021
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  10. 10
    Temporal modelling using single-cell transcriptomics

    Temporal modelling using single-cell transcriptomics 由 Jun Ding, Nadav Sharon, Ziv Bar‐Joseph

    出版 2022
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  11. 11
    SCS: cell segmentation for high-resolution spatial transcriptomics

    SCS: cell segmentation for high-resolution spatial transcriptomics 由 Hao Chen, Dongshunyi Li, Ziv Bar‐Joseph

    出版 2023
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  12. 12
    Decreasing-Rate Pruning Optimizes the Construction of Efficient and Robust Distributed Networks

    Decreasing-Rate Pruning Optimizes the Construction of Efficient and Robust Distributed Networks 由 Saket Navlakha, Alison L. Barth, Ziv Bar‐Joseph

    出版 2015
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  13. 13
    A mixture of feature experts approach for protein-protein interaction prediction

    A mixture of feature experts approach for protein-protein interaction prediction 由 Yanjun Qi, Judith Klein‐Seetharaman, Ziv Bar‐Joseph

    出版 2007
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  14. 14
    Evaluation of different biological data and computational classification methods for use in protein interaction prediction

    Evaluation of different biological data and computational classification methods for use in protein interaction prediction 由 Yanjun Qi, Ziv Bar‐Joseph, Judith Klein‐Seetharaman

    出版 2006
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  15. 15
    Fast optimal leaf ordering for hierarchical clustering

    Fast optimal leaf ordering for hierarchical clustering 由 Ziv Bar‐Joseph, David K. Gifford, Tommi Jaakkola

    出版 2001
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  16. 16
    Alignment and classification of time series gene expression in clinical studies

    Alignment and classification of time series gene expression in clinical studies 由 Tien-ho Lin, Naftali Kaminski, Ziv Bar‐Joseph

    出版 2008
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  17. 17
    Clustering short time series gene expression data

    Clustering short time series gene expression data 由 Jason Ernst, Gerard J. Nau, Ziv Bar‐Joseph

    出版 2005
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  18. 18
    Single-cell lineage tracing by integrating CRISPR-Cas9 mutations with transcriptomic data

    Single-cell lineage tracing by integrating CRISPR-Cas9 mutations with transcriptomic data 由 Hamim Zafar, Chieh Hubert Lin, Ziv Bar‐Joseph

    出版 2020
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  19. 19
    Linking the signaling cascades and dynamic regulatory networks controlling stress responses

    Linking the signaling cascades and dynamic regulatory networks controlling stress responses 由 Anthony Gitter, Miri Carmi, Naama Barkai, Ziv Bar‐Joseph

    出版 2012
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  20. 20
    Integrating multiple evidence sources to predict transcription factor binding in the human genome

    Integrating multiple evidence sources to predict transcription factor binding in the human genome 由 Jason Ernst, Heather L. Plasterer, Itamar Simon, Ziv Bar‐Joseph

    出版 2010
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