Abstract: In this work, we present GAMID, and extension of GAMI. GAMID is designed to be used for motif inference in noncoding DNA for co-expressed genes or ...
In this work, we present GAMID, an extension of GAMI (Genetic Algorithms for Motif Inference), which allows the system to ignore some of the sequences.
In this work, we present GAMID, and extension of GAMI. GAMID is designed to be used for motif inference in noncoding DNA for co-expressed genes or for ...
Jul 7, 2012 · Here we use the results of experiments using artificial data with GAMID to show that GAMID's success in inferring motifs in subsets of the input ...
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Using genetic algorithms for the inference of motifs that are represented in only a subset of sequences of interest. Thompson, Jeffrey A., Congdon, Clare Bates.
Here we use the results of experiments using artificial data with GAMID to show that GAMID's success in inferring motifs in subsets of the input data results in ...
it relates to both co-expressed and orthologous genes, in- cluding the particular problem of motifs represented in only a subset of the sequences of interest.
We propose an efficient method, gadem, which combines spaced dyads and an expectation-maximization (EM) algorithm.
Abstract — Current tools for motif discovery search patterns that are over-represented in DNA sequences but do not use DNA.
This algorithm uses a sequence model based on an independent component analysis framework to learn models for multiple motifs simultaneously and it also uses ...
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