TY  - JOUR 
AU  - García Alcalde, Fernando
AU  - López Domingo, Francisco Javier
AU  - Cano Gutiérrez, Carlos
AU  - Blanco Morón, Armando
PY  - 2009
SN  - 1471-2105
UR  - http://hdl.handle.net/10481/28496
AB  - 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...
AB  - Results
We propose FISim, a new similarity measure between PFMs, based on the fuzzy integral of the distance of the nucleotides with respect to the information content of the positions. Unlike existing methods, FISim is designed to consider the...
AB  - Conclusion
FISim corrects a design flaw of the most popular methods, whose measures favour similarity of low information content positions. We use our measure to successfully identify motifs that describe binding sites for the same TF and to solve...
LA  - eng
PB  - Biomed Central
TI  - FISim: A new similarity measure between transcription factor binding sites based on the fuzzy integral
DO  - 10.1186/1471-2105-10-224
ER  -