Cargando…
Fast and robust imputation for miRNA expression data using constrained least squares
BACKGROUND: High dimensional transcriptome profiling, whether through next generation sequencing techniques or high-throughput arrays, may result in scattered variables with missing data. Data imputation is a common strategy to maximize the inclusion of samples by using statistical techniques to fil...
Autores principales: | Webber, James W., Elias, Kevin M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027475/ https://www.ncbi.nlm.nih.gov/pubmed/35459087 http://dx.doi.org/10.1186/s12859-022-04656-4 |
Ejemplares similares
-
Fast Algorithms for Structured Least Squares and Total Least Squares Problems
por: Kalsi, Anoop, et al.
Publicado: (2006) -
Kernel weighted least square approach for imputing missing values of metabolomics data
por: Kumar, Nishith, et al.
Publicado: (2021) -
Missing value imputation using least squares techniques in contaminated matrices
por: Garcia-Peña, Marisol, et al.
Publicado: (2022) -
Reversible mathematics: the globally robust least squares
por: Ilyushchenko, V I
Publicado: (1995) -
LCLSQ: an implementation of an algorithm for linearly constrained linear least-squares problems
por: Crane, R L, et al.
Publicado: (1980)