Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
In wireless sensor networks, the data transmitted from the sensor nodes are vulnerable to corruption by errors induced by noisy channels and other factors. Hence it is necessary t...
Gopinath Balakrishnan, Mei Yang, Yingtao Jiang, Yo...
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...