Jing Dong Jackie Han

Summary

Affiliation: Institute of Genetics and Developmental Biology
Country: China

Publications

  1. pmc Evaluating diabetes and hypertension disease causality using mouse phenotypes
    Hong Yu
    Chinese Academy of Sciences Key Laboratory of Molecular Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Lincui East Road, Beijing 100101, China
    BMC Syst Biol 4:97. 2010
  2. pmc IntNetDB v1.0: an integrated protein-protein interaction network database generated by a probabilistic model
    Kai Xia
    Chinese Academy of Sciences Key Laboratory of Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
    BMC Bioinformatics 7:508. 2006
  3. doi request reprint Understanding biological functions through molecular networks
    Jing Dong Jackie Han
    Chinese Academy of Sciences Key Laboratory of Molecular Developmental Biology and Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Datun Road, Beijing 100101, China
    Cell Res 18:224-37. 2008
  4. doi request reprint Developmental systems biology flourishing on new technologies
    Jing Dong J Han
    Chinese Academy of Sciences Key Laboratory of Molecular Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
    J Genet Genomics 35:577-84. 2008
  5. doi request reprint Integrating genomic, epigenomic, and transcriptomic features reveals modular signatures underlying poor prognosis in ovarian cancer
    Wei Zhang
    Key laboratory of Computational Biology, Chinese Academy of Sciences Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai 200031, China
    Cell Rep 4:542-53. 2013

Collaborators

Detail Information

Publications5

  1. pmc Evaluating diabetes and hypertension disease causality using mouse phenotypes
    Hong Yu
    Chinese Academy of Sciences Key Laboratory of Molecular Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Lincui East Road, Beijing 100101, China
    BMC Syst Biol 4:97. 2010
    ....
  2. pmc IntNetDB v1.0: an integrated protein-protein interaction network database generated by a probabilistic model
    Kai Xia
    Chinese Academy of Sciences Key Laboratory of Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
    BMC Bioinformatics 7:508. 2006
    ..A frequently updated database of computationally analyzed potential PPIs to provide biological researchers with rapid and easy access to analyze original data as a biological network is still lacking...
  3. doi request reprint Understanding biological functions through molecular networks
    Jing Dong Jackie Han
    Chinese Academy of Sciences Key Laboratory of Molecular Developmental Biology and Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Datun Road, Beijing 100101, China
    Cell Res 18:224-37. 2008
    ..With the development of ready-to-use network analysis and modeling tools the networks approaches will be infused into everyday biological research in the near future...
  4. doi request reprint Developmental systems biology flourishing on new technologies
    Jing Dong J Han
    Chinese Academy of Sciences Key Laboratory of Molecular Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
    J Genet Genomics 35:577-84. 2008
    ..We believe that the field will continue to reap rewards into the future with these new approaches...
  5. doi request reprint Integrating genomic, epigenomic, and transcriptomic features reveals modular signatures underlying poor prognosis in ovarian cancer
    Wei Zhang
    Key laboratory of Computational Biology, Chinese Academy of Sciences Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai 200031, China
    Cell Rep 4:542-53. 2013
    ..Our results suggest molecular signatures that are highly predictive of clinical outcomes and spotlight "driver" genes that could be targeted by subtype-specific treatments. ..