An insight into high-resolution mass-spectrometry data.
Biostatistics
; 10(3): 481-500, 2009 Jul.
Article
em En
| MEDLINE
| ID: mdl-19325168
ABSTRACT
Mass spectrometry is a powerful tool with much promise in global proteomic studies. The discipline of statistics offers robust methodologies to extract and interpret high-dimensional mass-spectrometry data and will be a valuable contributor to the field. Here, we describe the process by which data are produced, characteristics of the data, and the analytical preprocessing steps that are taken in order to interpret the data and use it in downstream statistical analyses. Because of the complexity of data acquisition, statistical methods developed for gene expression microarray data are not directly applicable to proteomic data. Areas in need of statistical research for proteomic data include alignment, experimental design, abundance normalization, and statistical analysis.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Espectrometria de Massas
/
Proteômica
Limite:
Humans
Idioma:
En
Revista:
Biostatistics
Ano de publicação:
2009
Tipo de documento:
Article
País de afiliação:
Estados Unidos