axis provided on the right-hand side of the plot.<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
Abstract—One of the goals of systems biology is the identification of regulatory mechanisms that gov...
To try to increase the accuracy of transcription factor binding site prediction we propose a new app...
Conventional approaches to predict transcriptional regulatory interactions usually rely on the defin...
<p><b>Copyright information:</b></p><p>Taken from "Effective transcription factor binding site predi...
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...
And OPT (natural logarithm, optimized matrix length) for each TF. The vertical axis shows the false-...
Nd OPT (natural logarithm, optimized matrix length) for each TF. The vertical axis shows the false-p...
Ations, p < 0.001; d) negative correlations, p < 0.001. Whole analyzed 30 bp long region corresponds...
Reconstructing transcriptional regulatory networks from experimental data is one of the corner-stone...
Background—The computational identification of functional transcription factor binding sites (TFBSs)...
Identifying transcription factor (TF) binding sites (TFBSs) is important in the computational infere...
Gene expression is a complex and highly regulated process. Most of the regulation is controlled by s...
In this paper we apply machine learning to the task of predicting transcription factor binding sites...
Key words: transcription factor binding sites recognition, lipid metabolism, endocrine system, gene...
Abstract—One of the goals of systems biology is the identification of regulatory mechanisms that gov...
To try to increase the accuracy of transcription factor binding site prediction we propose a new app...
Conventional approaches to predict transcriptional regulatory interactions usually rely on the defin...
<p><b>Copyright information:</b></p><p>Taken from "Effective transcription factor binding site predi...
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...
And OPT (natural logarithm, optimized matrix length) for each TF. The vertical axis shows the false-...
Nd OPT (natural logarithm, optimized matrix length) for each TF. The vertical axis shows the false-p...
Ations, p < 0.001; d) negative correlations, p < 0.001. Whole analyzed 30 bp long region corresponds...
Reconstructing transcriptional regulatory networks from experimental data is one of the corner-stone...
Background—The computational identification of functional transcription factor binding sites (TFBSs)...
Identifying transcription factor (TF) binding sites (TFBSs) is important in the computational infere...
Gene expression is a complex and highly regulated process. Most of the regulation is controlled by s...
In this paper we apply machine learning to the task of predicting transcription factor binding sites...
Key words: transcription factor binding sites recognition, lipid metabolism, endocrine system, gene...
Abstract—One of the goals of systems biology is the identification of regulatory mechanisms that gov...
To try to increase the accuracy of transcription factor binding site prediction we propose a new app...
Conventional approaches to predict transcriptional regulatory interactions usually rely on the defin...