Reverse Engineering Methodology for Bioinformatics Based on Genetic Programming, Differential Expression Analysis and Other Statistical Methods
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-09042-9_12
Reference27 articles.
1. Crombach, A., Wotton, K.R., Cicin-Sain, D., Ashyraliyev, M., Jaeger, J.: Efficient reverse-engineering of a developmental gene regulatory network. PLoS Comput. Biol. 8(7) (2012)
2. D’haeseleer, P., Liang, S., Somogyi, R.: Genetic network inference: from co-expression clustering to reverse engineering. Bioinformatics 16, 707–726 (2000)
3. Jaeger, J., Crombach, A.: Life’s attractors: understanding developmental systems through reverse engineering and in silico evolution. Adv. Exp. Med. Biol. 751, 93–119 (2012)
4. Garnder, T.S., Faith, J.J.: Reverse-engineering transcription control networks. Phys. Life Rev. 2, 65–88 (2005)
5. Rockman, M.V.: Reverse engineering the genotype-phenotype map with natural genetic variation. Nature 456(7223), 738–744 (2008)
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