And OPT (natural logarithm, optimized matrix length) for each TF. The vertical axis shows the false-positive rate (logarithmic scale) for that algorithm at true-positive rates defined in the caption at the top of the figure. The upper and lower plots compare the algorithms using 15 nt mononucleotide and 20 nt dinucleotide PWMs respectively.<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
Regulation of gene expression is pivotal to cell behavior. It is achieved predominantly by transcrip...
Position weight matrices (PWMs) have become a tool of choice for the identification of transcription...
Transcription factor binding site (TFBS) detection plays an important role in computational biology,...
Nd OPT (natural logarithm, optimized matrix length) for each TF. The vertical axis shows the false-p...
Is instance, better performance is marked by higher values and plots positioned further to the left....
axis provided on the right-hand side of the plot.<p><b>Copyright information:</b></p><p>Taken from "...
<p><b>Copyright information:</b></p><p>Taken from "Effective transcription factor binding site predi...
Ations, p < 0.001; d) negative correlations, p < 0.001. Whole analyzed 30 bp long region corresponds...
Oint). Combined approach implied that both PWM and SiteGA models recognized a potential site.<p><b>C...
Identifying transcription factor (TF) binding sites (TFBSs) is important in the computational infere...
Identifying transcription factor binding sites (TFBS) in silico is key in understanding gene regulat...
is key in understanding gene regulation. TFBS are string patterns that exhibit some variability, co...
AbstractWe compared positional weight matrix-based prediction methods for transcription factor (TF) ...
Key words: transcription factor binding sites recognition, lipid metabolism, endocrine system, gene...
It is known that much of the genetic change underlying morphological evolution takes place in cis-re...
Regulation of gene expression is pivotal to cell behavior. It is achieved predominantly by transcrip...
Position weight matrices (PWMs) have become a tool of choice for the identification of transcription...
Transcription factor binding site (TFBS) detection plays an important role in computational biology,...
Nd OPT (natural logarithm, optimized matrix length) for each TF. The vertical axis shows the false-p...
Is instance, better performance is marked by higher values and plots positioned further to the left....
axis provided on the right-hand side of the plot.<p><b>Copyright information:</b></p><p>Taken from "...
<p><b>Copyright information:</b></p><p>Taken from "Effective transcription factor binding site predi...
Ations, p < 0.001; d) negative correlations, p < 0.001. Whole analyzed 30 bp long region corresponds...
Oint). Combined approach implied that both PWM and SiteGA models recognized a potential site.<p><b>C...
Identifying transcription factor (TF) binding sites (TFBSs) is important in the computational infere...
Identifying transcription factor binding sites (TFBS) in silico is key in understanding gene regulat...
is key in understanding gene regulation. TFBS are string patterns that exhibit some variability, co...
AbstractWe compared positional weight matrix-based prediction methods for transcription factor (TF) ...
Key words: transcription factor binding sites recognition, lipid metabolism, endocrine system, gene...
It is known that much of the genetic change underlying morphological evolution takes place in cis-re...
Regulation of gene expression is pivotal to cell behavior. It is achieved predominantly by transcrip...
Position weight matrices (PWMs) have become a tool of choice for the identification of transcription...
Transcription factor binding site (TFBS) detection plays an important role in computational biology,...