Cargando…
A comparison of imputation procedures and statistical tests for the analysis of two-dimensional electrophoresis data
BACKGROUND: Numerous gel-based softwares exist to detect protein changes potentially associated with disease. The data, however, are abundant with technical and structural complexities, making statistical analysis a difficult task. A particularly important topic is how the various softwares handle m...
Autores principales: | Miecznikowski, Jeffrey C, Damodaran, Senthilkumar, Sellers, Kimberly F, Rabin, Richard A |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3012036/ https://www.ncbi.nlm.nih.gov/pubmed/21159180 http://dx.doi.org/10.1186/1477-5956-8-66 |
Ejemplares similares
-
A comparison of imputation procedures and statistical tests for the analysis of two-dimensional electrophoresis data
por: Miecznikowski, Jeffrey C, et al.
Publicado: (2011) -
Comparing Imputation Procedures for Affymetrix Gene Expression Datasets Using MAQC Datasets
por: Rao, Sreevidya Sadananda Sadasiva, et al.
Publicado: (2013) -
Feature Detection Techniques for Preprocessing Proteomic Data
por: Sellers, Kimberly F., et al.
Publicado: (2010) -
Missing value imputation in high-dimensional phenomic data: imputable or not, and how?
por: Liao, Serena G, et al.
Publicado: (2014) -
Proposal for a Standard Representation of Two-Dimensional Gel
Electrophoresis Data
por: Jones, Andrew, et al.
Publicado: (2003)