A Resampling Univariate Analysis Approach to Ovarian Cancer From Clinical and Genetic Data

A Resampling Univariate Analysis Approach to Ovarian Cancer From Clinical and Genetic Data

Ovarian cancer (OC) is the second most common gynecological malignancy and the gynecological tumor with the worst prognosis. To try to improve this situation, Data Science technologies could be a useful tool to help clinicians to know more about the disease. In our case, we are interested in explori...

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Bibliographic Details
Main Authors: Luis Bote-Curiel, Sergio Ruiz-Llorente, Sergio Munoz-Romero, Monica Yague-Fernandez, Arantzazu Barquin, Jesus Garcia-Donas, Jose Luis Rojo-Alvarez
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Bootstrap resampling
data science analytics
genetic data
hypothesis test
ovarian cancer
univariate analysis
Online Access:https://ieeexplore.ieee.org/document/9349363/

Internet

https://ieeexplore.ieee.org/document/9349363/

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