Cargando…
ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules
BACKGROUND: The detection of cis-regulatory modules (CRMs) that mediate transcriptional responses in eukaryotes remains a key challenge in the postgenomic era. A CRM is characterized by a set of co-occurring transcription factor binding sites (TFBS). In silico methods have been developed to search f...
Autores principales: | Sun, Hong, De Bie, Tijl, Storms, Valerie, Fu, Qiang, Dhollander, Thomas, Lemmens, Karen, Verstuyf, Annemieke, De Moor, Bart, Marchal, Kathleen |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2648767/ https://www.ncbi.nlm.nih.gov/pubmed/19208131 http://dx.doi.org/10.1186/1471-2105-10-S1-S30 |
Ejemplares similares
-
Inferring transcriptional modules from ChIP-chip, motif and microarray data
por: Lemmens, Karen, et al.
Publicado: (2006) -
CisMiner: Genome-Wide In-Silico Cis-Regulatory Module Prediction by Fuzzy Itemset Mining
por: Navarro, Carmen, et al.
Publicado: (2014) -
The Effect of Orthology and Coregulation on Detecting Regulatory Motifs
por: Storms, Valerie, et al.
Publicado: (2010) -
A primer to frequent itemset mining for bioinformatics
por: Naulaerts, Stefan, et al.
Publicado: (2015) -
Mining Association rules for Low-Frequency itemsets
por: Wu, Jimmy Ming-Tai, et al.
Publicado: (2018)