Cargando…
Clustering-based approaches to SAGE data mining
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical applications, such as the prediction of new gene functions and the identification of biomarkers in human cancer research. Clus...
Autores principales: | Wang, Haiying, Zheng, Huiru, Azuaje, Francisco |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2553774/ https://www.ncbi.nlm.nih.gov/pubmed/18822151 http://dx.doi.org/10.1186/1756-0381-1-5 |
Ejemplares similares
-
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
por: Wang, Haiying, et al.
Publicado: (2006) -
Permutation – based statistical tests for multiple hypotheses
por: Camargo, Anyela, et al.
Publicado: (2008) -
Review of "Mining Imperfect Data" by Ronald K. Pearson
por: Azuaje, Francisco
Publicado: (2005) -
GRIP: A web-based system for constructing Gold Standard datasets for protein-protein interaction prediction
por: Browne, Fiona, et al.
Publicado: (2009) -
Review of "Data Mining: Practical Machine Learning Tools and Techniques" by Witten and Frank
por: Azuaje, Francisco
Publicado: (2006)