Abstract
Searching for new biomarkers, biological networks and pathways is crucial in the solution of neurodegenerative diseases. In this research we have compared three different algorithms and resampling techniques to find possible genetic causes in patients with Alzheimer’s and Parkinson’s diseases, providing some interesting insights about the main causes involved in these diseases.
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De Andrés, G.E., Fernández-Martínez, J.L., Sonis, S.T.: Design of biomedical robots for phenotype prediction problems. J. Comput. Biol. 23, 678–692 (2016, to appear)
Fernández-Martínez, J.L., Fernández-Muñiz, M., Tompkins, M.: On the topography of the cost functional in linear and nonlinear inverse problems. Geophysics 77(1), 1–15 (2012)
Freund, Y., Schapire, R.E.: Experiments with a new boosting algorithm. In: Machine Learning: Proceedings of the Thirteenth International Conference (1996), pp. 325–332
Kumaran, R.: Gene expression changes across multiple regions of the Parkinson’s disease brain. Geo Dataset GSE28894 (2013)
Rokach, L.: Ensemble-based classifiers. Artif. Intell. Rev. 33(1), 1–39 (2010)
Sood, S.: A novel multi-tissue RNA diagnostic of healthy ageing relates to cognitive health status. Genome Biol. 16, 185 (2015). PMID: 26343147
Zou, H., Hastie, T.: Regularization and variable selection via the elastic net. J. R. Stat. Soc. Ser. B Stat. Methodol. 67(2), 301–320 (2005)
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Beltrán Vargas, J.C., deAndrés-Galiana, E.J., Cernea, A., Fernández-Martínez, J.L. (2017). Improvements in Resampling Techniques for Phenotype Prediction: Applications to Neurodegenerative Diseases. In: Mateos, M., Alonso, P. (eds) Computational Mathematics, Numerical Analysis and Applications. SEMA SIMAI Springer Series, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-49631-3_14
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DOI: https://doi.org/10.1007/978-3-319-49631-3_14
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