Cargando…
FISim: A new similarity measure between transcription factor binding sites based on the fuzzy integral
BACKGROUND: Regulatory motifs describe sets of related transcription factor binding sites (TFBSs) and can be represented as position frequency matrices (PFMs). De novo identification of TFBSs is a crucial problem in computational biology which includes the issue of comparing putative motifs with one...
Autores principales: | Garcia, Fernando, Lopez, Francisco J, Cano, Carlos, Blanco, Armando |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2722654/ https://www.ncbi.nlm.nih.gov/pubmed/19615102 http://dx.doi.org/10.1186/1471-2105-10-224 |
Ejemplares similares
-
Fuzzy association rules for biological data analysis: A case study on yeast
por: Lopez, Francisco J, et al.
Publicado: (2008) -
CisMiner: Genome-Wide In-Silico Cis-Regulatory Module Prediction by Fuzzy Itemset Mining
por: Navarro, Carmen, et al.
Publicado: (2014) -
Measuring similarities between transcription factor binding sites
por: Kielbasa, Szymon M, et al.
Publicado: (2005) -
An intuitionistic approach to scoring DNA sequences against transcription factor binding site motifs
por: Garcia-Alcalde, Fernando, et al.
Publicado: (2010) -
Jaccard index based similarity measure to compare transcription factor binding site models
por: Vorontsov, Ilya E, et al.
Publicado: (2013)