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Using pre and post-processing methods to improve binding site predictions
(2009)
Currently the best algorithms for transcription factor binding site prediction within sequences of regulatory DNA are severely limited in accuracy. In this paper, we integrate 12 original binding site prediction algorithms, ...
Integrating genomic binding site predictions using real-valued meta classifiers
(2009)
Currently the best algorithms for predicting transcription factor binding sites in DNA sequences are severely limited in accuracy. There is good reason to believe that predictions from different classes of algorithms could ...
Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines
(2008)
Computational prediction of cis-regulatory binding sites is widely acknowledged as a difficult task. There are many different algorithms for searching for binding sites in current use. However, most of them produce a high ...
Combining experts in order to identify binding sites in yeast and mouse genomic data
(2008)
The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genetic regulatory networks it is necessary to ...
Combining experts in order to identify binding sites in genomic data
(2008)
The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genetic regulatory networks it is necessary to ...
Predicting Binding Sites in the Mouse Genome
(Institute of Electrical and Electronics Engineers (IEEE), 2007)
Using real-valued meta classifiers to integrate and contextualize binding site predictions
(Springer Nature, 2007)
Using sampling methods to improve binding site predictions
(2006)
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling into SMOTE over-sampling technique, working with ...
Using Feature Selection Filtering Methods for Binding Site Predictions
(Institute of Electrical and Electronics Engineers (IEEE), 2006)
Using real-valued metaclassifiers to integrate binding site predictions
(Institute of Electrical and Electronics Engineers (IEEE), 2005)
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. There is good reason to believe that predictions from these different classes of algorithms could be used in ...