Analysis of the microarray gene expression for breast cancer progression after the application modified logistic regression

Author:

Morais-Rodrigues Francielly,Silv́erio-Machado Rita,Kato Rodrigo Bentes,Rodrigues Diego Lucas Neres,Valdez-Baez Juan,Fonseca VagnerORCID,San Emmanuel James,Gomes Lucas Gabriel Rodrigues,dos Santos Roselane Gonçalves,Vinicius Canário Viana Marcus,da Cruz Ferraz Dutra Joyce,Teixeira Dornelles Parise Mariana,Parise Doglas,Campos Frederico F.,de Souza Sandro J.,Ortega José Miguel,Barh Debmalya,Ghosh Preetam,Azevedo Vasco A.C.,dos Santos Marcos A.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Genetics,General Medicine

Reference43 articles.

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2. Asnaoui, K. EL., et al., 2016. An application of linear algebra to image compression. In: Badawi,A., Vedadi,M.R., Yassemi, S., Darani, A.Y. (eds.) Homological and Combinatorial Methods in Algebra, pp.41-54 Springer, Iran (2016).

3. Bapat, R.B. Linear Algebra and Linear Models. New York: Srpinger, 2012. 3° ed.

4. Classification based on extensions of LS-PLS using logistic regression: application to clinical and multiple genomic data;Bazzoli;BMC Bioinf.,2018

5. Bellanger, M., et al., 2018. Are global breast cancer incidence and mortality patterns related to country specific economic development and prevention strategies? J. Global Oncol.

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