The Performance Evaluation of The Random Forest Algorithm for A Gene Selection in Identifying Genes Associated with Resectable Pancreatic Cancer in Microarray Dataset: A Retrospective Study

OBJECTIVE: In microarray datasets, hundreds and thousands of genes are measured in a small number of samples, and sometimes due to problems that occur during the experiment, the expression value of some genes is recorded as missing. It is a difficult task to determine the genes that cause disease or...

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Detalles Bibliográficos
Autores principales: Rabiei, Niloofar, Soltanian, Ali Reza, Farhadian, Maryam, Bahreini, Fatemeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royan Institute 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257059/
https://www.ncbi.nlm.nih.gov/pubmed/37300296
http://dx.doi.org/10.22074/CELLJ.2023.1971852.1156

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257059/
https://www.ncbi.nlm.nih.gov/pubmed/37300296
http://dx.doi.org/10.22074/CELLJ.2023.1971852.1156

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