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Little focus has been placed on neighborhood proteins in the protein-protein interaction (PPI) network that do not physically interact with each other but have a higher likelihood to interact than the actual PPIs in the network. Identifying these missing PPIs would complete the protein network biomarker representing a disease. In the present study, we check the capability of diffusion kernel in identifying...
Protein sub network biomarkers for 144 diseases and pathways are analyzed in terms of protein-protein interaction (PPI) score available in STRING database. Most of the sub network biomarker (SNB) studies are to classify disease samples from the control. But no de novo algorithm is available to identify SNB from the whole genome PPI network without the knowledge of differentially expressed genes. Recently,...
Many proteins are sorted to multiple subcellular localizations within the cell. However, computational prediction of multi-location proteins remains a challenging task. Here we applied a logistic regression and diffusion kernel based algorithm NetLoc for predicting multiplex proteins and explored its capability and limitations. Experiment shows that the overall and true success rates for physical...
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