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A Resampling Univariate Analysis Approach to Ovarian Cancer from Clinical and Genetic Data
ArticleAbstract: Ovarian cancer (OC) is the second most common gynecological malignancy and the gynecological tumor wPalabras claves:bootstrap resampling, data science analytics, genetic data, hypothesis test, Ovarian Cancer, univariate analysisAutores:Barquin A., Bote-Curiel L., Garcia-Donas J., Jose Luis Rojo-Álvarez, Muoz-Romero S., Ruiz-Llorente S., Yagüe-Fernández M.Fuentes:scopusMultivariate feature selection and autoencoder embeddings of ovarian cancer clinical and genetic data
ArticleAbstract: Although certain genetic alterations have been defined as pbkp_redictive and prognostic biomarkers iPalabras claves:Autoencoders, Clinical Data, Feature Extraction, feature selection, genetic data, Ovarian Cancer, Platinum-resistant, Platinum-sensitiveAutores:Barquin A., Bote-Curiel L., Garcia-Donas J., Jose Luis Rojo-Álvarez, Muoz-Romero S., Ruiz-Llorente S., Yagüe-Fernández M.Fuentes:scopusText Analytics and Mixed Feature Extraction in Ovarian Cancer Clinical and Genetic Data
ArticleAbstract: Developments of richer integrative analysis methods for oncological studies are needed for efficientPalabras claves:Bag of Words, bootstrap resampling, Clinical Data, Feature Extraction, genetic data, Latent Dirichlet Allocation, multiple component analysis, Ovarian Cancer, Principal Component AnalysisAutores:Barquin A., Bote-Curiel L., Garcia-Donas J., Jose Luis Rojo-Álvarez, Muoz-Romero S., Ruiz-Llorente S., Yagüe-Fernández M.Fuentes:scopus