Cargando…
Semantic biclustering for finding local, interpretable and predictive expression patterns
BACKGROUND: One of the major challenges in the analysis of gene expression data is to identify local patterns composed of genes showing coherent expression across subsets of experimental conditions. Such patterns may provide an understanding of underlying biological processes related to these condit...
Autores principales: | Kléma, Jiří, Malinka, František, železný, Filip |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5657082/ https://www.ncbi.nlm.nih.gov/pubmed/29513193 http://dx.doi.org/10.1186/s12864-017-4132-5 |
Ejemplares similares
-
Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator
por: Malinka, František, et al.
Publicado: (2020) -
Semantic clustering analysis of E3-ubiquitin ligases in gastrointestinal tract defines genes ontology clusters with tissue expression patterns
por: Iatsiuk, Veronika, et al.
Publicado: (2022) -
Comparative evaluation of set-level techniques in predictive classification of gene expression samples
por: Holec, Matěj, et al.
Publicado: (2012) -
A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series
por: Madeira, Sara C, et al.
Publicado: (2009) -
Differential co-expression framework to quantify goodness of biclusters and compare biclustering algorithms
por: Chia, Burton Kuan Hui, et al.
Publicado: (2010)