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Code repository for the paper:

Noninvasive and sensitive prognostic biosensor for the detection of oral cancer biomarkers

Luciana D. Trino Albano*, Daniela C. Granato, Luiz G. S. Albano, Fabio M. Patroni, Aline G. Santana, Guilherme A. Câmara, Davi H. S. de Camargo, Ana Letícia Mores, Thaís Bianca Brandão, Ana C. Prado-Ribeiro, Carlos C. B. Bufon*, Adriana F. Paes Leme*

L. D. Trino Albano, D. C. Granato, F. M. Patroni, A. G. Santana, G. A. Câmara, A. F. Paes Leme Brazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), 13083-970, Campinas, São Paulo, Brazil.

L. G. S. Albano, D. H. S. de Camargo Brazilian Nanotechnology National Laboratory (LNNano), Brazilian Center for Research in Energy and Materials (CNPEM), 13083-970, Campinas, São Paulo, Brazil.

A. C. Prado-Ribeiro, T. B. Brandão Dental Oncology Service, Instituto do Câncer do Estado de São Paulo, Faculdade de Medicina da Universidade de São Paulo (ICESP-FMUSP), São Paulo, Brazil. Oral Diagnosis Department, Semiology and Oral Pathology Areas, Piracicaba Dental School, State University of Campinas (UNICAMP), Piracicaba, São Paulo, Brazil.

A.L. Mores Oral Diagnosis Department, Semiology and Oral Pathology Areas, Piracicaba Dental School, State University of Campinas (UNICAMP), Piracicaba, São Paulo, Brazil.

C. C. B. Bufon Physics Department, Institute of Geosciences and Exact Sciences, São Paulo State University (Unesp), 13506-900, Rio Claro, São Paulo, Brazil.

Keywords: biosensor, oral cancer, saliva, biomarker, metal-organic frameworks, noninvasive analysis, machine learning.

Contents

  • COL6A1.ipynb - The Python notebook contains the code used for the COL6A1 strategy.

  • CSTB1.ipynb - The Python notebook contains the code used for the CSTB1 strategy.

  • LTA4H.ipynb - The Python notebook contains the code used for the LTA4H strategy.

  • reunidos.ipynb - The Python notebook contains the code used for the assembled strategy.