<p>Different lines of evidence indicative of TF–target interactions are combined to yield an integrated probabilistic measure of interaction propensity. Using a positive and a negative validation set, the input evidences are independently converted into LLSs. Individual LLSs are integrated into one value per TF–target pair. TF modules are identified as subsets of TFs that regulate common genes.</p
Various methods have been developed for identifying gene–gene interactions in genome-wide associatio...
<p>Networks of 91 pairs of genes showing significant evidence of interactions as identified by MFRG....
<p>For each regulatory interaction, , we define a confidence score , where indicates the step in ou...
<p>(A): Prediction of (i) gene expression correlation, (ii) literature mentions, and (iii) shared fu...
<p>We utilize as prior information that genes which are co-regulated are likely to be effective pred...
<p><b>A.</b> ROC curve and Genome Surveyor tracks of the single motif model and best TF-TF interacti...
<p>Performance of the hypergeometric probabilistic score is shown for gene functional associations i...
<p>We searched putative TFBSs and mouse TFs from DNA sequences of TSSs, and used these for inferrin...
<p>Testing Accuracy for different combinations: single locus, 63.7 %; two locus, 65.1%; three locus,...
<div><p>(A) ROC curves are average of two cross-validations (see <a href="http://www.ploscompbiol.or...
A) Proportion of experimentally validated PPIs in the predicted co-occurring TF pairs by CoTRaCTE by...
An important problem in molecular biology is to build a complete understanding of transcriptional re...
<p>The number of significant interactions observed is less than one might expect by chance.</p><p>P ...
<p>A) The 43 proteins from the upregulated DE genes. B) The 70 proteins from the downregulated DE ge...
Abstract. We have combined four different types of functional genomic data to create high coverage p...
Various methods have been developed for identifying gene–gene interactions in genome-wide associatio...
<p>Networks of 91 pairs of genes showing significant evidence of interactions as identified by MFRG....
<p>For each regulatory interaction, , we define a confidence score , where indicates the step in ou...
<p>(A): Prediction of (i) gene expression correlation, (ii) literature mentions, and (iii) shared fu...
<p>We utilize as prior information that genes which are co-regulated are likely to be effective pred...
<p><b>A.</b> ROC curve and Genome Surveyor tracks of the single motif model and best TF-TF interacti...
<p>Performance of the hypergeometric probabilistic score is shown for gene functional associations i...
<p>We searched putative TFBSs and mouse TFs from DNA sequences of TSSs, and used these for inferrin...
<p>Testing Accuracy for different combinations: single locus, 63.7 %; two locus, 65.1%; three locus,...
<div><p>(A) ROC curves are average of two cross-validations (see <a href="http://www.ploscompbiol.or...
A) Proportion of experimentally validated PPIs in the predicted co-occurring TF pairs by CoTRaCTE by...
An important problem in molecular biology is to build a complete understanding of transcriptional re...
<p>The number of significant interactions observed is less than one might expect by chance.</p><p>P ...
<p>A) The 43 proteins from the upregulated DE genes. B) The 70 proteins from the downregulated DE ge...
Abstract. We have combined four different types of functional genomic data to create high coverage p...
Various methods have been developed for identifying gene–gene interactions in genome-wide associatio...
<p>Networks of 91 pairs of genes showing significant evidence of interactions as identified by MFRG....
<p>For each regulatory interaction, , we define a confidence score , where indicates the step in ou...