<p><b>Copyright information:</b></p><p>Taken from "Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions"</p><p>http://www.biomedcentral.com/1471-2105/8/481</p><p>BMC Bioinformatics 2007;8():481-481.</p><p>Published online 19 Dec 2007</p><p>PMCID:PMC2265442.</p><p></p
Background—The computational identification of functional transcription factor binding sites (TFBSs)...
To try to increase the accuracy of transcription factor binding site prediction we propose a new app...
Key words: transcription factor binding sites recognition, lipid metabolism, endocrine system, gene...
axis provided on the right-hand side of the plot.<p><b>Copyright information:</b></p><p>Taken from "...
Is instance, better performance is marked by higher values and plots positioned further to the left....
Oint). Combined approach implied that both PWM and SiteGA models recognized a potential site.<p><b>C...
Ations, p < 0.001; d) negative correlations, p < 0.001. Whole analyzed 30 bp long region corresponds...
Nd OPT (natural logarithm, optimized matrix length) for each TF. The vertical axis shows the false-p...
And OPT (natural logarithm, optimized matrix length) for each TF. The vertical axis shows the false-...
The complexity of any organism depends on cellular behav-ior which is formed from the interaction be...
Identifying transcription factor (TF) binding sites (TFBSs) is important in the computational infere...
In this paper we apply machine learning to the task of predicting transcription factor binding sites...
Reconstructing transcriptional regulatory networks from experimental data is one of the corner-stone...
Regulation of gene expression is pivotal to cell behavior. It is achieved predominantly by transcrip...
AbstractWe compared positional weight matrix-based prediction methods for transcription factor (TF) ...
Background—The computational identification of functional transcription factor binding sites (TFBSs)...
To try to increase the accuracy of transcription factor binding site prediction we propose a new app...
Key words: transcription factor binding sites recognition, lipid metabolism, endocrine system, gene...
axis provided on the right-hand side of the plot.<p><b>Copyright information:</b></p><p>Taken from "...
Is instance, better performance is marked by higher values and plots positioned further to the left....
Oint). Combined approach implied that both PWM and SiteGA models recognized a potential site.<p><b>C...
Ations, p < 0.001; d) negative correlations, p < 0.001. Whole analyzed 30 bp long region corresponds...
Nd OPT (natural logarithm, optimized matrix length) for each TF. The vertical axis shows the false-p...
And OPT (natural logarithm, optimized matrix length) for each TF. The vertical axis shows the false-...
The complexity of any organism depends on cellular behav-ior which is formed from the interaction be...
Identifying transcription factor (TF) binding sites (TFBSs) is important in the computational infere...
In this paper we apply machine learning to the task of predicting transcription factor binding sites...
Reconstructing transcriptional regulatory networks from experimental data is one of the corner-stone...
Regulation of gene expression is pivotal to cell behavior. It is achieved predominantly by transcrip...
AbstractWe compared positional weight matrix-based prediction methods for transcription factor (TF) ...
Background—The computational identification of functional transcription factor binding sites (TFBSs)...
To try to increase the accuracy of transcription factor binding site prediction we propose a new app...
Key words: transcription factor binding sites recognition, lipid metabolism, endocrine system, gene...