Building interpretable fuzzy models for high dimensional data analysis in cancer diagnosis

BACKGROUND: Analysing gene expression data from microarray technologies is a very important task in biology and medicine, and particularly in cancer diagnosis. Different from most other popular methods in high dimensional bio-medical data analysis, such as microarray gene expression or proteomics ma...

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Detalles Bibliográficos
Autores principales: Wang, Zhenyu, Palade, Vasile
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3194236/
https://www.ncbi.nlm.nih.gov/pubmed/21989191
http://dx.doi.org/10.1186/1471-2164-12-S2-S5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3194236/
https://www.ncbi.nlm.nih.gov/pubmed/21989191
http://dx.doi.org/10.1186/1471-2164-12-S2-S5

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