An Efficient Convex Nonnegative Network Component Analysis for Gene Regulatory Network Reconstruction
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-04031-3_6
Reference19 articles.
1. Friedman, N., Linial, M., Nachman, I., Peer, D.: Using bayesian networks to analyze expression data. Journal of Computational Biology 7(3), 601–620 (2000)
2. Shmulevich, I., Dougherty, E.R., Kim, S., Zhang, W.: Probabilistic boolean networks: a rule-based uncertainty model for gene regulatory networks. Bioinformatics 18(2), 261–274 (2002)
3. Dougherty, E.R., Shmulevich, I., Chen, J., Wang, Z.J.: Genomic Signal Processing and Statistics. Hindawi Publishing Corporation (2005)
4. Alter, O., Brown, P.O.: Singular value decomposition for genome-wide expression data processing and modeling. Proceedings of the National Academy of Sciences of the United States of America 97(18), 10101–10106 (2000)
5. Lee, S.I., Batzoglou, S.: Application of independent component analysis to microarrays. Genome Biology 4(11), R76 (2003)
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