Abstract
Stem cells represent a potential source of cells for regeneration, thanks to their ability to renew and differentiate into functional cells of different tissues. The studies and results related to stem cell differentiation are diverse and sometimes contradictory due to the various sources of production and the different variables involved in the differentiation problem. In this paper a new methodology is proposed in order to select the relevant factors involved in stem cell differentiation into cardiac lineage and forecast its behaviour and response in the differentiation process. We have built a database from the results of experiments on stem cell differentiation into cardiac tissueandusing this database we have applied state-of-the-art classification and predictive techniques such as support vector machine and decision trees, as well as several feature selection techniques. The results obtained are very promising and demonstrate that with only a reduced subset of variables high prediction rates are possible.
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Trujillo, A.M. et al. (2010). Analysis of the Inducing Factors Involved in Stem Cell Differentiation Using Feature Selection Techniques, Support Vector Machines and Decision Trees. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6096. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13022-9_30
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DOI: https://doi.org/10.1007/978-3-642-13022-9_30
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