Cargando…
An integrated method for cancer classification and rule extraction from microarray data
Different microarray techniques recently have been successfully used to investigate useful information for cancer diagnosis at the gene expression level due to their ability to measure thousands of gene expression levels in a massively parallel way. One important issue is to improve classification p...
Autor principal: | Huang, Liang-Tsung |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2653531/ https://www.ncbi.nlm.nih.gov/pubmed/19272192 http://dx.doi.org/10.1186/1423-0127-16-25 |
Ejemplares similares
-
MIDClass: Microarray Data Classification by Association Rules and Gene Expression Intervals
por: Giugno, Rosalba, et al.
Publicado: (2013) -
Integrative disease classification based on cross-platform microarray data
por: Liu, Chun-Chi, et al.
Publicado: (2009) -
An effective method for network module extraction from microarray data
por: Mahanta, Priyakshi, et al.
Publicado: (2012) -
Fuzzy support vector machine: an efficient rule-based classification technique for microarrays
por: Hajiloo, Mohsen, et al.
Publicado: (2013) -
Tumor classification ranking from microarray data
por: Hewett, Rattikorn, et al.
Publicado: (2008)