Statistical methods for comparative phenomics using high-throughput phenotype microarrays.
Int J Biostat
; 6(1): Article 29, 2010 Aug 24.
Article
em En
| MEDLINE
| ID: mdl-20865133
ABSTRACT
We propose statistical methods for comparing phenomics data generated by the Biolog Phenotype Microarray (PM) platform for high-throughput phenotyping. Instead of the routinely used visual inspection of data with no sound inferential basis, we develop two approaches. The first approach is based on quantifying the distance between mean or median curves from two treatments and then applying a permutation test; we also consider a permutation test applied to areas under mean curves. The second approach employs functional principal component analysis. Properties of the proposed methods are investigated on both simulated data and data sets from the PM platform.
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Base de dados:
MEDLINE
Assunto principal:
Fenótipo
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Análise de Sequência com Séries de Oligonucleotídeos
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Análise de Componente Principal
Idioma:
En
Ano de publicação:
2010
Tipo de documento:
Article