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Deep_Learning vs Machine Learning using the DL wrapper
Keras, find the best architecture for the network and compare the results and performance with ML methods. -
Feature_Selection-Genetic Algorithms using a Leukemia dataset, compare Filter and Wrapper methods with Genetic Algorithms for Feature selection, and proving the improvement of results when reducing the data.
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Machine Learning-Expresión de Genes Survival analysis, Cox Regression and Predictive models (Lasso and Ridge, DT, NNET, GLM) with clinical and gene expression data from TCGA.
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SurvivalAnalysis-Cox_and_NNET Comparision of Neural Networks and Cox Regression as predictors, using Lung Cancer data.
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Survival Analysis-Breast Cancer A complete report of the analysis of Breast Cancer clinical data (from TCGA) using Survival Analysis and Statistics tools.
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Statistics from gene expressions Replicating an application from a paper find statistics from a given gene.