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A novel feature ranking method for prediction of cancer stages using proteomics data
Proteomic analysis of cancers' stages has provided new opportunities for the development of novel, highly sensitive diagnostic tools which helps early detection of cancer. This paper introduces a new feature ranking approach called FRMT. FRMT is based on the Technique for Order of Preference by...
Autores principales: | Saghapour, Ehsan, Kermani, Saeed, Sehhati, Mohammadreza |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608217/ https://www.ncbi.nlm.nih.gov/pubmed/28934234 http://dx.doi.org/10.1371/journal.pone.0184203 |
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