… the PPI networks generated in these studies were based primarily on proteomic data only, …
information, such as gene co-expression data, genetic associations, and other evidence …

… features, resulting from transcriptomics and proteomics, is for various reasons limited. We …
of protein interaction networks, exemplified by using transcriptomic and proteomic data sets …

… Using the molecular interaction database IntAct, the software platform … based proteomics
experiment, we show how to build, visualize, and analyze a protein–protein interaction network. …

… A protein interaction network usually refers to physical PPIs [29], but several … interactions
composing a given network could not occur in any cell or at any time. However, if two interacting …

… The “active sub-network” approach is sensitive to missing proteins and we demonstrate by
analyses of real data in many cases that it may fail to identify statistically significant models. …

… interactions specific to PCa proteomics-related proteins has been conducted. Therefore, to
put our proteomics data in … protein networks based on the available proteomics literature data) …

… proteomics data remains a challenge. Here we develop a quantitative method for evaluating
proteomics data. … To avoid cross-contamination of data, we included only proteomics data in …

… Finally, we constructed a probabilistic human interaction network composed of … proteomics
for organizing proteins into complexes and for generating probabilistic interaction networks. …

… In this chapter, different workflows that enable the creation of interaction networks are
proposed. Resulting networks reduce the complexity of original datasets, depicting complex …

… understanding the structure of protein interaction networks offers an important starting point
… interaction network of the yeast, Saccharomyces cerevisiae, aiming to uncover the network’…