Cargando…
Modeling Skewness in Human Transcriptomes
Gene expression data are influenced by multiple biological and technological factors leading to a wide range of dispersion scenarios, although skewed patterns are not commonly addressed in microarray analyses. In this study, the distribution pattern of several human transcriptomes has been studied o...
Autores principales: | Casellas, Joaquim, Varona, Luis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372486/ https://www.ncbi.nlm.nih.gov/pubmed/22701729 http://dx.doi.org/10.1371/journal.pone.0038919 |
Ejemplares similares
-
Between-groups within-gene heterogeneity of residual variances in microarray gene expression data
por: Casellas, Joaquim, et al.
Publicado: (2008) -
Bayes factor for testing between different structures of random genetic groups: A case study using weaning weight in Bruna dels Pirineus beef cattle
por: Casellas, Joaquim, et al.
Publicado: (2007) -
Bayes factor between Student t and Gaussian mixed models within an animal breeding context
por: Casellas, Joaquim, et al.
Publicado: (2008) -
Consequences of paternally inherited effects on the genetic evaluation of maternal effects
por: Varona, Luis, et al.
Publicado: (2015) -
A multivariate analysis with direct additive and inbreeding depression load effects
por: Varona, Luis, et al.
Publicado: (2019)