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Ranking Series of Cancer-Related Gene Expression Data by Means of the Superposing Significant Interaction Rules Method
The Superposing Significant Interaction Rules (SSIR) method is a combinatorial procedure that deals with symbolic descriptors of samples. It is able to rank the series of samples when those items are classified into two classes. The method selects preferential descriptors and, with them, generates r...
Autores principales: | Besalú, Emili, De Julián-Ortiz, Jesus Vicente |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564041/ https://www.ncbi.nlm.nih.gov/pubmed/32911598 http://dx.doi.org/10.3390/biom10091293 |
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