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LOGOS: a modular Bayesian model for de novo motif detection
Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003
127 128 E. P. Xing et al. superior performance on both semi-realistic test data and cis-regulatory sequences from yeast and Drosophila genomes with regard to sensitivity, specificity, flexibility and extensibility. a Not to be confused with model-based motif scan, the task of searching known motifs based on given position weight matrices, as addressed by Frith et al. 10 and Huang et al. 15 c Heuristics are generally employed -such as throwing away overlapping sampled motifs (in the Gibbs
doi:10.1109/csb.2003.1227327
dblp:conf/csb/XingWJK03
fatcat:f37iwhtedndznjqn4yfl7lhymi