This paper is in the following e-collection/theme issue:

Bioinformatics, genomics, tools and databases (23) Precision Medicine and Genetics (57) Cancer Prognosis Models and Machine Learning (21) Clinical Informatics (1126)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65645, first published .
Investigating Associations Between Prognostic Factors in Gliomas: Unsupervised Multiple Correspondence Analysis

Investigating Associations Between Prognostic Factors in Gliomas: Unsupervised Multiple Correspondence Analysis

Investigating Associations Between Prognostic Factors in Gliomas: Unsupervised Multiple Correspondence Analysis

Authors of this article:

Maria Eduarda Goes Job1 Author Orcid Image ;   Heidge Fukumasu1 Author Orcid Image ;   Tathiane Maistro Malta2 Author Orcid Image ;   Pedro Luiz Porfirio Xavier1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Maria Eduarda Goes Job   1 ;   Heidge Fukumasu   1 , PhD ;   Tathiane Maistro Malta   2 , PhD ;   Pedro Luiz Porfirio Xavier   1 , PhD

1 Laboratory of Comparative and Translational Oncology, Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Brazil

2 Cancer Epigenomics Laboratory, Department of Clinical Analysis, Toxicology and Food Sciences, School of Pharmaceutical Sciences of Ribeirao Preto, University of Sao Paulo, Ribeirão Preto, Brazil

Corresponding Author:

  • Pedro Luiz Porfirio Xavier, PhD
  • Laboratory of Comparative and Translational Oncology
  • Department of Veterinary Medicine
  • School of Animal Science and Food Engineering, University of Sao Paulo
  • Avenida Duque de Caxias, 225, Jardim Elite
  • Pirassununga, 13.635-900
  • Brazil
  • Phone: 55 19 9 8367-1821
  • Email: porfirioxavier@usp.br