… Taken together, our new proposed method TEGS perform well in identifying essential
proteins from PPI network, especially when the select top number is relative large. …

… network topological and biological properties. In Dynamic … provide a more comprehensive
gene expression profile. More … Accordingly, identifying the domains that occur within proteins …

… methods for identifying essential proteins have better results by using biological information.
… characterize the probability of two proteins being in a cluster from a topology perspective (2) …

… to detect essential genes based on the static protein–protein interactive (… detected essential
genes based on the network topology, gene expression data, and gene ontology information…

… methods which have been used for essential protein detection. However, it is still a big …
method applies network topology (ECC), gene expression data (PCC) and GO annotation data (…

… biological problems and network topological features are very important in the study …
identifying essential proteins based on proteinprotein interaction network and gene expression data…

… gene expression profiling data [15] or cellular co-localization … that a lot of features were
essential for majority datasets. These … : 0006412 is definitely an effective parameter for identifying …

… Protein–protein interaction network is a very important … the data set of microarray gene
expression and identifying … of PPI and TF network assessment as a powerful structure for gaining …

… new essential proteins based on network topology. CEPPK detects new essential proteins by
integrating network … the gene expression data with the static PPI network to build a dynamic …

… by identifying the most important neurons and … based on a MLP constrained by the GO
structure. The constraints are introduced into the network using an adaptive regularization term…