Estimation of the proteomic cancer co-expression sub networks by using association estimators
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DOI: 10.1371/journal.pone.0188016
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- Valur Emilsson & Gudmar Thorleifsson & Bin Zhang & Amy S. Leonardson & Florian Zink & Jun Zhu & Sonia Carlson & Agnar Helgason & G. Bragi Walters & Steinunn Gunnarsdottir & Magali Mouy & Valgerdur Ste, 2008. "Genetics of gene expression and its effect on disease," Nature, Nature, vol. 452(7186), pages 423-428, March.
- Eric E. Schadt, 2009. "Molecular networks as sensors and drivers of common human diseases," Nature, Nature, vol. 461(7261), pages 218-223, September.
- Joeri Ruyssinck & Vân Anh Huynh-Thu & Pierre Geurts & Tom Dhaene & Piet Demeester & Yvan Saeys, 2014. "NIMEFI: Gene Regulatory Network Inference using Multiple Ensemble Feature Importance Algorithms," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-13, March.
- Ricardo de Matos Simoes & Frank Emmert-Streib, 2011. "Influence of Statistical Estimators of Mutual Information and Data Heterogeneity on the Inference of Gene Regulatory Networks," PLOS ONE, Public Library of Science, vol. 6(12), pages 1-14, December.
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