In theory, it should be possible to infer realistic genetic networks from time series microarray data. In practice, however, network discovery has proved problematic. The three ma...
Shawn Martin, George Davidson, Elebeoba E. May, Je...
— This paper describes an innovative approach to network testing based on automatically generating and analyzing state machine models of network behavior. The models are generate...
Nancy D. Griffeth, Yuri Cantor, Constantinos Djouv...
It is well known that different types of social ties have essentially different influence between people. However, users in online social networks rarely categorize their contact...
This paper presents an evolutionary method for identifying the gene regulatory network from the observed time series data of gene expression using a system of ordinary differential...
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...