• DOI:10.1109/IEMBS.2003.1280532
Corpus ID: 17798157

Similarity measures for automated comparison of in silico and in vitro experimental results

@article{Ropella2003SimilarityMF,
  title={Similarity measures for automated comparison of in silico and in vitro experimental results},
  author={Glen E. P. Ropella and D. Nag and C. Hunt},
  journal={Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439)},
  year={2003},
  volume={3},
  pages={2933-2936 Vol.3}
}

Glen E. P. Ropella, D. Nag, C. Hunt

Published 2003

Computer Science

Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439)

The overwhelming complexity of biological systems prevents exhaustive description of the processes and mechanisms that cause system functionality. There are large numbers of processes to be considered with options for manifold hypotheses describing each. The long-term goal of this project, for a particular biological system, is to put the computer to work weeding out the weaker hypotheses and, even, weeding out posited processes that do not pertain directly to specific functionality. An… CONTINUE READING

View on IEEE

doi.org

Save to Library

Create Alert

Cite

Launch Research Feed