Microarray data mining with visual programming

@article{Curk2005MicroarrayDM,
  title={Microarray data mining with visual programming},
  author={Toma{\vz} Curk and Janez Demsar and Qikai Xu and Gregor Leban and Uro{\vs} Petrovi{\vc} and Ivan Bratko and Gad Shaulsky and Blaz Zupan},
  journal={Bioinformatics},
  year={2005},
  volume={21 3},
  pages={
          396-8
        }
}
UNLABELLED Visual programming offers an intuitive means of combining known analysis and visualization methods into powerful applications. The system presented here enables users who are not programmers to manage microarray and genomic data flow and to customize their analyses by combining common data analysis tools to fit their needs. AVAILABILITY http://www.ailab.si/supp/bi-visprog SUPPLEMENTARY INFORMATION http://www.ailab.si/supp/bi-visprog. 

Figures and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 101 CITATIONS

Differentiating Duchenne from non-Duchenne smiles using active appearance models

  • 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
  • 2012
VIEW 8 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Clusters and Classes in the Rhythm Metrics

VIEW 1 EXCERPT
CITES METHODS
HIGHLY INFLUENCED

Human activity data discovery based on accelerometry

VIEW 2 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2005
2018

CITATION STATISTICS

  • 11 Highly Influenced Citations

  • Averaged 2 Citations per year over the last 3 years

Similar Papers

Loading similar papers…