Cargando…
A systematic comparative evaluation of biclustering techniques
BACKGROUND: Biclustering techniques are capable of simultaneously clustering rows and columns of a data matrix. These techniques became very popular for the analysis of gene expression data, since a gene can take part of multiple biological pathways which in turn can be active only under specific ex...
Autores principales: | Padilha, Victor A., Campello, Ricardo J. G. B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259837/ https://www.ncbi.nlm.nih.gov/pubmed/28114903 http://dx.doi.org/10.1186/s12859-017-1487-1 |
Ejemplares similares
-
Differential co-expression framework to quantify goodness of biclusters and compare biclustering algorithms
por: Chia, Burton Kuan Hui, et al.
Publicado: (2010) -
An evaluation study of biclusters visualization techniques of gene expression data
por: Aouabed, Haithem, et al.
Publicado: (2021) -
A comparison and evaluation of five biclustering algorithms by quantifying goodness of biclusters for gene expression data
por: Li, Li, et al.
Publicado: (2012) -
Automatic layout and visualization of biclusters
por: Grothaus, Gregory A, et al.
Publicado: (2006) -
Biclustering fMRI time series: a comparative study
por: Castanho, Eduardo N., et al.
Publicado: (2022)