Published in Biology Direct
BackgroundDetermining the factors involved in the likelihood of a gene being under adaptive selection is still a challenging goal in Evolutionary Biology. Here, we perform an evolutionary analysis of the human metabolic genes to explore the associations between network structure and the presence and strength of natural selection in the genes whose ...
Published in BMC Bioinformatics
BackgroundAlthough various machine learning-based predictors have been developed for estimating protein–protein interactions, their performances vary with dataset and species, and are affected by two primary aspects: choice of learning algorithm, and the representation of protein pairs. To improve the performance of predicting protein–protein inter...
Published in Network Modeling Analysis in Health Informatics and Bioinformatics
Cancer is a disease that is characterized by uncontrolled cell growth with the ability to penetrate or develop to the other parts of the body. Various studies have shown the significance of identifying drug targets for cancer, although this process continues challenging in the field of anti-cancer drug designing. The primary purpose of this study i...
Published in Computational Social Networks
A dynamic influence spreading model is presented for computing network centrality and betweenness measures. Network topology, and possible directed connections and unequal weights of nodes and links, are essential features of the model. The same influence spreading model is used for community detection in social networks and for analysis of network...
Published in Biology Direct
BackgroundOne of the main current challenges in computational biology is to make sense of the huge amounts of multidimensional experimental data that are being produced. For instance, large cohorts of patients are often screened using different high-throughput technologies, effectively producing multiple patient-specific molecular profiles for hund...
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Circuits and Systems
Published in Mobile Networks and Applications
Mobile Ad-hoc Network (MANET) is a group of self-sustaining movable nodes which are communicating to other nodes in the networks through wireless connections. The motile nodes within the communication range can directly communicate with each other, whereas other nodes require the support of neighbouring nodes by using routing protocols. Most routin...
Published in Wireless Personal Communications
To identify topology features of different complex network topology is essential in network science researches. Apart from traditional tools in doing such jobs such as power-law, a proved method of convolutional neural network (CNN) is introduced into this research field after we re-format the complex network topology adjacent matrix into an image....
Published in Applied Network Science
Most real networks are too large or they are not available for real time analysis. Therefore, in practice, decisions are made based on partial information about the ground truth network. It is of great interest to have metrics to determine if an inferred network (the partial information network) is similar to the ground truth. In this paper we deve...
