Background Understanding gene regulatory networks has become one of the central research problems in bioinformatics. More than thirty algorithms have been proposed to identify DNA regulatory sites during the past thirty years. However, the prediction accuracy of these algorithms is still quite low. Ensemble algorithms have emerged as an effective strategy in bioinformatics for improving the prediction accuracy by exploiting the synergetic prediction capability of multiple algorithms. Results We proposed a novel clustering-based ensemble algorithm named EMD for de novo motif discovery by combining multiple predictions from multiple runs of one or more base component algorithms. The ensemble approach is applied to the motif discovery problem...
Abstract Background Discovery of functionally signifi...
Background: The detection of regulatory regions in candidate sequences is essential for the understa...
Computational DNA motif prediction is a challenging problem because motifs are short, degenerated, a...
Background Understanding gene regulatory networks has become one of the central research problems in...
Background Understanding gene regulatory networks has become one of the central research problems in...
Background Understanding gene regulatory networks has become one of the central research problems in...
Computational methods for de novo identification of gene regulation elements, such as transcription ...
Despite the diversity of motif representations and search algorithms, the de novo computational iden...
Computational methods for de novo identification of gene regulation elements, such as transcription ...
The network of interactions between transcription factors (TFs) and their regulatory gene targets go...
Background: Unraveling the mechanisms that regulate gene expression is a major challenge in biology....
Context of the thesis:Regulation of gene expression is a key mechanism for organisms to live and gro...
Many approaches are currently devoted to find DNA motifs in nucleotide sequences. However, this tas...
*Background:* Methods for finding overrepresented sequence motifs are useful in several key areas of...
This paper describes a novel evolutionary algorithm for regulatory motif discovery in DNA promoter s...
Abstract Background Discovery of functionally signifi...
Background: The detection of regulatory regions in candidate sequences is essential for the understa...
Computational DNA motif prediction is a challenging problem because motifs are short, degenerated, a...
Background Understanding gene regulatory networks has become one of the central research problems in...
Background Understanding gene regulatory networks has become one of the central research problems in...
Background Understanding gene regulatory networks has become one of the central research problems in...
Computational methods for de novo identification of gene regulation elements, such as transcription ...
Despite the diversity of motif representations and search algorithms, the de novo computational iden...
Computational methods for de novo identification of gene regulation elements, such as transcription ...
The network of interactions between transcription factors (TFs) and their regulatory gene targets go...
Background: Unraveling the mechanisms that regulate gene expression is a major challenge in biology....
Context of the thesis:Regulation of gene expression is a key mechanism for organisms to live and gro...
Many approaches are currently devoted to find DNA motifs in nucleotide sequences. However, this tas...
*Background:* Methods for finding overrepresented sequence motifs are useful in several key areas of...
This paper describes a novel evolutionary algorithm for regulatory motif discovery in DNA promoter s...
Abstract Background Discovery of functionally signifi...
Background: The detection of regulatory regions in candidate sequences is essential for the understa...
Computational DNA motif prediction is a challenging problem because motifs are short, degenerated, a...