Cargando…
Using Interpolation to Estimate System Uncertainty in Gene Expression Experiments
The widespread use of high-throughput experimental assays designed to measure the entire complement of a cell's genes or gene products has led to vast stores of data that are extremely plentiful in terms of the number of items they can measure in a single sample, yet often sparse in the number...
Autores principales: | Falin, Lee J., Tyler, Brett M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142119/ https://www.ncbi.nlm.nih.gov/pubmed/21799771 http://dx.doi.org/10.1371/journal.pone.0022071 |
Ejemplares similares
-
Uncertainties in Interpolated Spectral Data
por: Gardner, James L.
Publicado: (2003) -
Discrete natural neighbour interpolation with uncertainty using cross-validation error-distance fields
por: Etherington, Thomas R.
Publicado: (2020) -
Interpolation functors and interpolation spaces
por: Brudnyi, Yu A, et al.
Publicado: (1991) -
Interpolation based consensus clustering for gene expression time series
por: Chiu, Tai-Yu, et al.
Publicado: (2015) -
An Improved DOA Estimation Approach Using Coarray Interpolation and Matrix Denoising
por: Guo, Muran, et al.
Publicado: (2017)