Cargando…
Common and distinct variation in data fusion of designed experimental data
INTRODUCTION: Integrative analysis of multiple data sets can provide complementary information about the studied biological system. However, data fusion of multiple biological data sets can be complicated as data sets might contain different sources of variation due to underlying experimental factor...
Autores principales: | Alinaghi, Masoumeh, Bertram, Hanne Christine, Brunse, Anders, Smilde, Age K., Westerhuis, Johan A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890597/ https://www.ncbi.nlm.nih.gov/pubmed/31797165 http://dx.doi.org/10.1007/s11306-019-1622-2 |
Ejemplares similares
-
Separating common from distinctive variation
por: van der Kloet, Frans M., et al.
Publicado: (2016) -
Rapid Cerebral Metabolic Shift during Neonatal Sepsis Is Attenuated by Enteral Colostrum Supplementation in Preterm Pigs
por: Alinaghi, Masoumeh, et al.
Publicado: (2019) -
Repeated measures ASCA+ for analysis of longitudinal intervention studies with multivariate outcome data
por: Madssen, Torfinn S., et al.
Publicado: (2021) -
Use of prior knowledge for the analysis of high-throughput transcriptomics and metabolomics data
por: Reshetova, Polina, et al.
Publicado: (2014) -
Metabolic network discovery through reverse engineering of metabolome data
por: Çakır, Tunahan, et al.
Publicado: (2009)