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A large number of long non-coding RNAs (lncRNAs) have been identified over the past decades. Accumulating evidence proves that lncRNAs play key roles in various biological processes. However, the majority of the lncRNAs have not been functionally characterized. The annotation of lncRNA functions has become an area of focus in the fields of biology and bioinformatics. In this paper, we develop a global...
Advanced technologies are producing large-scale protein-protein interaction data at an ever increasing pace. Finding protein-protein interaction complexes from large PPI networks is a fundamental problem in bioinformatics. In order to solve the set contains false negative and false positive noise data of protein data, we develop the graph model for limitation of structural protein complex. We proposed...
In recent years, numerous protein-protein interaction (PPI) datasets have been generated with the development of high-throughput experimental techniques. These datasets enable researchers to uncover protein complexes on network level. However, the performance of the computational methods relies heavily on the quality of the underlying protein interaction data, and these datasets are usually quite...
A signaling pathway, which is represented as a chain of interacting proteins for a biological process, can be predicted from protein-protein interaction (PPI) networks. However, pathway prediction is computationally challenging because of (1) inefficiency in searching all possible paths from the large-scale PPI networks and (2) unreliability of current PPI data generated by automated high-throughput...
The recent development of high-throughout techniques to generate large volumes of protein-protein interaction(PPI) data, which increased the need for methods that annotate the function of protein. Some methods use indirect method to predict proteins function. However, due to the nature of noise, the relationship between proteins may not be existed in truth. In this paper, we propose a method of protein...
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