<p>Each point on this plot represents specific interaction score threshold of prediction methods at which the true and false positives were counted. Inset on the plot shows reduction of false positives at higher interaction score cutoffs for GC, PP, ES and GM prediction methods. The performance of all methods is near diagonal. Even at highest score cutoff GN predicted more than 13,868 TP and 210,963 FP hence its line is not visible in the inset. Expression Similarity (ES) is the best performing method. Phylogenetic Profiling, Gene Neighbor, Gene Cluster and Genome Distance-Mirrortree are abbreviated as PP, GN, GC and GM respectively.</p
Most cellular functions involve proteins’ features based on their physical interactions with other p...
Protein-protein interactions (PPIs) play a critical role in many cellular functions. A number of exp...
Protein-protein interactions (PPIs) play a critical role in many cellular functions. A number of exp...
<p>Each solid colored line represents Receiver Operator Characteristics (ROC) curve of prediction me...
<p>Each solid colored line represents Receiver Operator Characteristics (ROC) curve of methods. Gray...
<p>A) Each arrow point towards a particular protein-protein physical/functional interaction predicti...
Background: Protein-protein interactions underlie many important biological processes. Computational...
Cellular activities are governed by the physical and the functional interactions among several prote...
Ine the co-occurrence interaction set. Shown is the number of true positives (TP) when the scoring t...
The prediction of protein-protein interaction (PPI) with genomic information is an important issue o...
Computational protein-protein interaction (PPI) prediction is a diverse field with multiple paradigm...
<p>The plots illustrate the performance in predicting protein interaction partners. The left panels ...
Introduction: Proteins within the cell act as part of complex networks, which allow pathways and pro...
Protein pairs in the hidden set in a ten-fold cross validation are ranked based on their predicted i...
Protein domains are conserved and functionally independent structures that play an important role in...
Most cellular functions involve proteins’ features based on their physical interactions with other p...
Protein-protein interactions (PPIs) play a critical role in many cellular functions. A number of exp...
Protein-protein interactions (PPIs) play a critical role in many cellular functions. A number of exp...
<p>Each solid colored line represents Receiver Operator Characteristics (ROC) curve of prediction me...
<p>Each solid colored line represents Receiver Operator Characteristics (ROC) curve of methods. Gray...
<p>A) Each arrow point towards a particular protein-protein physical/functional interaction predicti...
Background: Protein-protein interactions underlie many important biological processes. Computational...
Cellular activities are governed by the physical and the functional interactions among several prote...
Ine the co-occurrence interaction set. Shown is the number of true positives (TP) when the scoring t...
The prediction of protein-protein interaction (PPI) with genomic information is an important issue o...
Computational protein-protein interaction (PPI) prediction is a diverse field with multiple paradigm...
<p>The plots illustrate the performance in predicting protein interaction partners. The left panels ...
Introduction: Proteins within the cell act as part of complex networks, which allow pathways and pro...
Protein pairs in the hidden set in a ten-fold cross validation are ranked based on their predicted i...
Protein domains are conserved and functionally independent structures that play an important role in...
Most cellular functions involve proteins’ features based on their physical interactions with other p...
Protein-protein interactions (PPIs) play a critical role in many cellular functions. A number of exp...
Protein-protein interactions (PPIs) play a critical role in many cellular functions. A number of exp...