Cargando…
MVIAeval: a web tool for comprehensively evaluating the performance of a new missing value imputation algorithm
BACKGROUND: Missing value imputation is important for microarray data analyses because microarray data with missing values would significantly degrade the performance of the downstream analyses. Although many microarray missing value imputation algorithms have been developed, an objective and compre...
Autores principales: | Wu, Wei-Sheng, Jhou, Meng-Jhun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5237319/ https://www.ncbi.nlm.nih.gov/pubmed/28086746 http://dx.doi.org/10.1186/s12859-016-1429-3 |
Ejemplares similares
-
Missing value imputation for microarray data: a comprehensive comparison study and a web tool
por: Chiu, Chia-Chun, et al.
Publicado: (2013) -
BIMAM—a tool for imputing variables missing across datasets using a Bayesian imputation and analysis model
por: Elfadaly, Fadlalla G, et al.
Publicado: (2021) -
TADMaster: a comprehensive web-based tool for the analysis of topologically associated domains
por: Higgins, Sean, et al.
Publicado: (2022) -
imputeqc: an R package for assessing imputation quality of genotypes and optimizing imputation parameters
por: Khvorykh, Gennady V., et al.
Publicado: (2020) -
ImputAccur: fast and user-friendly calculation of genotype-imputation accuracy-measures
por: Thormann, Kolja A., et al.
Publicado: (2022)