Functional Clustering Algorithm for High-Dimensional Proteomics Data

Clustering proteomics data is a challenging problem for any traditional clustering algorithm. Usually, the number of samples is largely smaller than the number of protein peaks. The use of a clustering algorithm which does not take into consideration the number of features of variables (here the num...

Descripción completa

Detalles Bibliográficos
Autores principales: Bensmail, Halima, Aruna, Buddana, Semmes, O. John, Haoudi, Abdelali
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2005
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1184055/
https://www.ncbi.nlm.nih.gov/pubmed/16046812
http://dx.doi.org/10.1155/JBB.2005.80

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1184055/
https://www.ncbi.nlm.nih.gov/pubmed/16046812
http://dx.doi.org/10.1155/JBB.2005.80

Ejemplares similares