Assessing the validity and reproducibility of genome-scale predictions.
Bioinformatics
; 29(22): 2844-51, 2013 Nov 15.
Article
em En
| MEDLINE
| ID: mdl-24048353
ABSTRACT
MOTIVATION Validation and reproducibility of results is a central and pressing issue in genomics. Several recent embarrassing incidents involving the irreproducibility of high-profile studies have illustrated the importance of this issue and the need for rigorous methods for the assessment of reproducibility. RESULTS:
Here, we describe an existing statistical model that is very well suited to this problem. We explain its utility for assessing the reproducibility of validation experiments, and apply it to a genome-scale study of adenosine deaminase acting on RNA (ADAR)-mediated RNA editing in Drosophila. We also introduce a statistical method for planning validation experiments that will obtain the tightest reproducibility confidence limits, which, for a fixed total number of experiments, returns the optimal number of replicates for the study.AVAILABILITY:
Downloadable software and a web service for both the analysis of data from a reproducibility study and for the optimal design of these studies is provided at http//ccmbweb.ccv.brown.edu/reproducibility.html .
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Modelos Estatísticos
/
Genômica
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Animals
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article