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Logistic Model for Liquid Biopsy Data. Project for Master in Computational Biology Statistical Data Analysis and Visualizations course

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Liquid Biopsy Data PDAC Logistic Model

Author : Natalia García Sánchez Student in Master in Computational Biology

The code in this repository DAT4LogRRoc.R

  1. Performs simple analysis with 2x2 contingency table for categorical variables describing presence of biomarkers/clinical groups and Mortality categorical variable status
  2. Performs risk analysis on a single variable Mutationover status
  3. Trains a Logistic Model with 3-Fold cross validation and plots the ROC curve

Package Dependencies : MASS, ROCR, pROC, caret, skimr, dplyr

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Logistic Model for Liquid Biopsy Data. Project for Master in Computational Biology Statistical Data Analysis and Visualizations course

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