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Detecting pairwise interactive effects of continuous random variables for biomarker identification with small sample size
Aberrant changes to interactions among cellular components have been conjectured to be potential causes of abnormalities in cellular functions. By systematic analysis of high-throughput -omics data, researchers hope to detect potential associations among measured variables for better biomarker ident...
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| Publicado en: | IEEE/ACM Trans Comput Biol Bioinform |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5775817/ https://ncbi.nlm.nih.gov/pubmed/27362985 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCBB.2016.2586042 |
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