Yuji Zhang

Summary

Affiliation: Virginia Polytechnic Institute and State University
Country: USA

Publications

  1. pmc Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data
    Yuji Zhang
    Lombardi Comprehensive Cancer Center, Georgetown University, 4000 Reservoir Rd, Washington, DC, USA
    BMC Bioinformatics 9:203. 2008
  2. pmc Reverse engineering module networks by PSO-RNN hybrid modeling
    Yuji Zhang
    Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
    BMC Genomics 10:S15. 2009
  3. pmc Reconstruction of gene regulatory modules in cancer cell cycle by multi-source data integration
    Yuji Zhang
    Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States of America
    PLoS ONE 5:e10268. 2010
  4. ncbi request reprint Inferring network interactions using recurrent neural networks and swarm intelligence
    Habtom W Ressom
    Dept of Biostat, Bioinf, and Biomath, Georgetown Univ, Washington, DC 20057, USA
    Conf Proc IEEE Eng Med Biol Soc 1:4241-4. 2006
  5. pmc Identification of aberrant pathways and network activities from high-throughput data
    Jinlian Wang
    Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA
    Brief Bioinform 13:406-19. 2012

Detail Information

Publications5

  1. pmc Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data
    Yuji Zhang
    Lombardi Comprehensive Cancer Center, Georgetown University, 4000 Reservoir Rd, Washington, DC, USA
    BMC Bioinformatics 9:203. 2008
    ..The data include time course gene expression profiles, genome-wide location analysis data, binding sequence data, and gene ontology (GO) information...
  2. pmc Reverse engineering module networks by PSO-RNN hybrid modeling
    Yuji Zhang
    Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
    BMC Genomics 10:S15. 2009
    ....
  3. pmc Reconstruction of gene regulatory modules in cancer cell cycle by multi-source data integration
    Yuji Zhang
    Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States of America
    PLoS ONE 5:e10268. 2010
    ..Integrating these informative and complementary data sources can help to infer a mutually consistent gene transcriptional regulatory network with strong similarity to the underlying gene regulatory relationships in cancer cells...
  4. ncbi request reprint Inferring network interactions using recurrent neural networks and swarm intelligence
    Habtom W Ressom
    Dept of Biostat, Bioinf, and Biomath, Georgetown Univ, Washington, DC 20057, USA
    Conf Proc IEEE Eng Med Biol Soc 1:4241-4. 2006
    ..The results indicate that the algorithm has a promising potential to infer complex interactions such as gene regulatory networks from time-series gene expression data...
  5. pmc Identification of aberrant pathways and network activities from high-throughput data
    Jinlian Wang
    Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA
    Brief Bioinform 13:406-19. 2012
    ..The achievements in this field have been remarkable, but many challenges have yet to be addressed...