Skip to content

Latest commit

 

History

History
23 lines (9 loc) · 1.65 KB

README.md

File metadata and controls

23 lines (9 loc) · 1.65 KB
Raw

Clinical Data Analysis

This project contains a pipeline for analysis of The Cancer Genome Atlas Kidney - Renal Clear Cell Carcinoma (TCGA-KIRC) clinical data, from Genomic Data Commons Data Portal and cBioPortal.

  • Preprocessing and Exploratory Analysis. Initial preprocessing cleans and arranges the data. Exploratory Data Analysis summarizes their main characteristics.
  • Comparisons and Hypothesis test. Chi-squared test and T-student test analyses clinical variables to the 'Overall_Survival_Status'. The Hypothesis test evaluates the strength of evidence in supportting the null hypothesis.
  • Logistic Regression Model. The logistic regression investigates the relations between clinical variables and the binary outcome, i.e, 'Overall_Survival_Status'.

Authors 👥

👤 Beatriz Stransky (Associate Professor, Phd, UFRN)

👤 Patrick Terrematte (Assistant Professor, UFERSA; PhD Student, UFRN)

👤 Josivan Justino (Assistant Professor, UNIR; PhD Student, UFRN)