Knowledge guided analysis of microarray data

@article{Fang2006KnowledgeGA,
  title={Knowledge guided analysis of microarray data},
  author={Zhuo Fang and Jiong Yang and Yixue Li and Qing-ming Luo and Lei Liu},
  journal={Journal of biomedical informatics},
  year={2006},
  volume={39 4},
  pages={401-11}
}
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this paper, Gene Ontology is introduced to guide the clustering process, and thus a new algorithm capturing both expression pattern similarities and biological function similarities is developed. Our algorithm was validated on two well-known public data sets and the results were compared with some previous works. It is… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 36 extracted citations

Computational systems biology approaches for Parkinson’s disease

Cell and Tissue Research • 2017
View 4 Excerpts
Highly Influenced

Exploring the application of gene ontology semantic similarity measure for identifying protein complexes

2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) • 2014
View 1 Excerpt

Semi-supervised clustering methods

Wiley interdisciplinary reviews. Computational statistics • 2013

References

Publications referenced by this paper.
Showing 1-10 of 35 references

Gene ontology friendly biclustering of expression profiles

Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004. • 2004
View 2 Excerpts

Similar Papers

Loading similar papers…