Statistical analysis of global gene expression data: some practical considerations.
Curr Opin Biotechnol
; 15(1): 52-7, 2004 Feb.
Article
em En
| MEDLINE
| ID: mdl-15102467
ABSTRACT
Applying appropriate error models and conservative estimates to microarray data helps to reduce the number of false predictions and allows one to focus on biologically relevant observations. Several key conclusions have been drawn from the statistical analysis of global gene expression data it is worth keeping core information for each experiment, including raw and processed data; biological and technical replicates are needed; careful experimental design makes the analysis simpler and more powerful; the choice of the similarity measure is nontrivial and depends on the goal of an experiment; array information must be complemented with other data; and gene expression studies are 'hypothesis generators'.
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Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Interpretação Estatística de Dados
/
Modelos Estatísticos
/
Análise de Sequência de DNA
/
Análise de Sequência com Séries de Oligonucleotídeos
/
Perfilação da Expressão Gênica
Idioma:
En
Ano de publicação:
2004
Tipo de documento:
Article