Advanced search
2 files | 1.95 MB

A re-ranking algorithm for gene regulatory network predictions using graphlets and graph-invariant properties

Joeri Ruyssinck (UGent) , Tom Dhaene (UGent) and Yvan Saeys (UGent)
Author
Organization
Keywords
IBCN

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 998.44 KB
  • 5918 i.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 954.76 KB

Citation

Please use this url to cite or link to this publication:

Chicago
Ruyssinck, Joeri, Tom Dhaene, and Yvan Saeys. 2013. “A Re-ranking Algorithm for Gene Regulatory Network Predictions Using Graphlets and Graph-invariant Properties.” In Intelligent Systems for Molecular Biology, 21st Annual International Conference, Abstracts.
APA
Ruyssinck, J., Dhaene, T., & Saeys, Y. (2013). A re-ranking algorithm for gene regulatory network predictions using graphlets and graph-invariant properties. Intelligent Systems for Molecular Biology, 21st Annual international conference, Abstracts. Presented at the 21st Annual international conference on Intelligent Systems for Molecular Biology (ISMB 2013).
Vancouver
1.
Ruyssinck J, Dhaene T, Saeys Y. A re-ranking algorithm for gene regulatory network predictions using graphlets and graph-invariant properties. Intelligent Systems for Molecular Biology, 21st Annual international conference, Abstracts. 2013.
MLA
Ruyssinck, Joeri, Tom Dhaene, and Yvan Saeys. “A Re-ranking Algorithm for Gene Regulatory Network Predictions Using Graphlets and Graph-invariant Properties.” Intelligent Systems for Molecular Biology, 21st Annual International Conference, Abstracts. 2013. Print.
@inproceedings{4402258,
  author       = {Ruyssinck, Joeri and Dhaene, Tom and Saeys, Yvan},
  booktitle    = {Intelligent Systems for Molecular Biology, 21st Annual international conference, Abstracts},
  language     = {eng},
  location     = {Berlin, Germany},
  title        = {A re-ranking algorithm for gene regulatory network predictions using graphlets and graph-invariant properties},
  year         = {2013},
}