Inferring Gene Regulatory Networks Using Hybrid Parallel Computing
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-95162-1_11
Reference22 articles.
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2. Borelli, F., de Camargo, R., Martins, D., Rozante, L.: Gene regulatory networks inference using a multi-GPU exhaustive search algorithm. BMC Bioinform. 14(Suppl. 18), S5 (2013). https://doi.org/10.1186/1471-2105-14-S18-S5
3. Carastan-Santos, D., de Camargo, R.Y., Martins Jr., D.C.: A multi-GPU hitting set algorithm for GRNs inference. In: IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp. 313–322 (2015)
4. DREAM: DREAM: Dialogue for Reverse Engineering Assessments and Methods (2009). Project website: http://wiki.c2b2.columbia.edu/dream/
5. Friedman, N., Linial, M., Nachman, I., Pe’er, D.: Using Bayesian networks to analyze expression data. J. Comput. Biol. 7(6), 601–620 (2000)
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