Tianxiao Huan

Summary

Affiliation: Indiana University
Country: USA

Publications

  1. ncbi HAPPI: an online database of comprehensive human annotated and predicted protein interactions
    Jake Yue Chen
    School of Informatics, Indiana University Purdue University, Indianapolis, IN, USA
    BMC Genomics 10:S16. 2009
  2. ncbi ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining
    Tianxiao Huan
    School of Informatics, Indiana University Purdue University, Indianapolis, IN 46202, USA
    BMC Bioinformatics 9:S5. 2008
  3. ncbi Finding fractal patterns in molecular interaction networks: a case study in Alzheimer's disease
    Xiaogang Wu
    School of Informatics, Indiana University, Indianapolis, IN 46202, USA
    Int J Comput Biol Drug Des 2:340-52. 2009

Detail Information

Publications3

  1. ncbi HAPPI: an online database of comprehensive human annotated and predicted protein interactions
    Jake Yue Chen
    School of Informatics, Indiana University Purdue University, Indianapolis, IN, USA
    BMC Genomics 10:S16. 2009
    ..Ongoing collection and integration of human PPIs from different sources, both experimentally and computationally, can enable disease-specific network biology modelling in translational bioinformatics studies...
  2. ncbi ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining
    Tianxiao Huan
    School of Informatics, Indiana University Purdue University, Indianapolis, IN 46202, USA
    BMC Bioinformatics 9:S5. 2008
    ..A robust visual data analysis platform driven by database management systems to perform bi-directional data processing-to-visualizations with declarative querying capabilities is needed...
  3. ncbi Finding fractal patterns in molecular interaction networks: a case study in Alzheimer's disease
    Xiaogang Wu
    School of Informatics, Indiana University, Indianapolis, IN 46202, USA
    Int J Comput Biol Drug Des 2:340-52. 2009
    ..In this framework, the task of ranking nodes is represented as the problem of finding optimal density distributions of 'ant colonies' on all nodes of the network. Our results also revealed fractal-like properties of the network...