Principal-oscillation-pattern analysis of gene expression.
Principal-oscillation-pattern (POP) analysis is a multivariate and systematic technique for identifying the dynamic characteristics of a system from time-series data. In this study, we demonstrate the first application of POP analysis to genome-wide time-series gene-expression data. We use POP analy...
Guardado en:
Autores principales: | Daifeng Wang, Ari Arapostathis, Claus O Wilke, Mia K Markey |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2012
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4ca790c64bbd4b15a62ee76f3a618481 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A novel dimension reduction algorithm based on weighted kernel principal analysis for gene expression data.
por: Wen Bo Liu, et al.
Publicado: (2021) -
Sarcoptes scabiei mites modulate gene expression in human skin equivalents.
por: Marjorie S Morgan, et al.
Publicado: (2013) -
Systematic analysis of gene expression patterns associated with postmortem interval in human tissues
por: Yizhang Zhu, et al.
Publicado: (2017) -
Genome-wide identification and expression pattern analysis of lipoxygenase gene family in banana
por: Fan Liu, et al.
Publicado: (2021) -
Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network
por: Ankit Kumar, et al.
Publicado: (2017)