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Cancer Segmentation by Entropic Analysis of Ordered Gene Expression Profiles
The availability of massive gene expression data has been challenging in terms of how to cure, process, and extract useful information. Here, we describe the use of entropic measures as discriminating criteria in cancer using the whole data set of gene expression levels. These methods were applied i...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777913/ https://www.ncbi.nlm.nih.gov/pubmed/36554151 http://dx.doi.org/10.3390/e24121744 |