Published March 2021 by Saeed Salem, Mohammed Alokshiya & Mohammad Al Hasan Background Given a collection of coexpression networks over a set of genes, identifying subnetworks that appear frequently is an important research problem known as mining frequent subgraphs. Maximal frequent subgraphs are a representative set of frequent subgraphs; A frequent subgraph is maximal if…

Published September 2020 by Riyad Hakim, Saeed Salem With the rapid collection of large network data such as biological networks and social networks, it has become very important to develop efficient techniques for network analysis. In many domains, additional attribute data can be associated with entities and relationships in the network, where the network data…

Published June 2019 by Mohammed Alokshiya, Saeed Salem, Fidaa Abed Background Real biological and social data is increasingly being represented as graphs. Pattern-mining-based graph learning and analysis techniques report meaningful biological subnetworks that elucidate important interactions among entities. At the backbone of these algorithms is the enumeration of pattern space. Results We propose an efficient…

Lizzette D. Cambron, George E. Yocum, Kathleen M. Yeater, Kendra J. Greenlee Diapause is a non-feeding state that many insects undergo to survive the winter months. With fixed resources, overall metabolism and insulin signaling (IIS) are maintained at low levels, but whether those change in response to seasonal temperature fluctuations remains unknown. The focus of…