A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection

BACKGROUND: Mass spectrometry spectra, widely used in proteomics studies as a screening tool for protein profiling and to detect discriminatory signals, are high dimensional data. A large number of local maxima (a.k.a. peaks) have to be analyzed as part of computational pipelines aimed at the realiz...

Descripción completa

Detalles Bibliográficos
Autores principales: Ceccarelli, Michele, d'Acierno, Antonio, Facchiano, Angelo
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2762074/
https://www.ncbi.nlm.nih.gov/pubmed/19828085
http://dx.doi.org/10.1186/1471-2105-10-S12-S9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2762074/
https://www.ncbi.nlm.nih.gov/pubmed/19828085
http://dx.doi.org/10.1186/1471-2105-10-S12-S9

Ejemplares similares