Naoki Nariai

Summary

Affiliation: Boston University
Country: USA

Publications

  1. pmc Probabilistic protein function prediction from heterogeneous genome-wide data
    Naoki Nariai
    Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America
    PLoS ONE 2:e337. 2007
  2. ncbi request reprint Context specific protein function prediction
    Naoki Nariai
    Boston University, Boston, MA 02215, USA
    Genome Inform 18:173-82. 2007
  3. pmc Integration of relational and hierarchical network information for protein function prediction
    Xiaoyu Jiang
    Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA
    BMC Bioinformatics 9:350. 2008
  4. ncbi request reprint Estimating gene regulatory networks and protein-protein interactions of Saccharomyces cerevisiae from multiple genome-wide data
    Naoki Nariai
    Human Genome Center, Institute of Medical Science, University of Tokyo, Shirokanedai, Minato ku, Tokyo, Japan
    Bioinformatics 21:ii206-12. 2005

Detail Information

Publications4

  1. pmc Probabilistic protein function prediction from heterogeneous genome-wide data
    Naoki Nariai
    Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America
    PLoS ONE 2:e337. 2007
    ..Surprisingly, in some contexts integration hurts overall prediction accuracy. Lastly, we provide a comprehensive assignment of putative GO terms to 463 proteins that currently have no assigned function...
  2. ncbi request reprint Context specific protein function prediction
    Naoki Nariai
    Boston University, Boston, MA 02215, USA
    Genome Inform 18:173-82. 2007
    ..Finally, we predicted 57 unknown genes as "ribosome biogenesis" proteins...
  3. pmc Integration of relational and hierarchical network information for protein function prediction
    Xiaoyu Jiang
    Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA
    BMC Bioinformatics 9:350. 2008
    ..Currently, the most common approach to imposing these hierarchical constraints on network-based classifiers is through the use of transitive closure to predictions...
  4. ncbi request reprint Estimating gene regulatory networks and protein-protein interactions of Saccharomyces cerevisiae from multiple genome-wide data
    Naoki Nariai
    Human Genome Center, Institute of Medical Science, University of Tokyo, Shirokanedai, Minato ku, Tokyo, Japan
    Bioinformatics 21:ii206-12. 2005
    ....