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Rare germline variations contribute to the missing heritability of human complex diseases including cancers. Given their very low frequency, discovering and testing disease‐causing rare germline variations remains challenging. The tag‐single nucleotide polymorphism rs17728461 in 22q12.2 is highly associated with lung cancer risk. Here, we identified a functional rare germline variation rs548071605...
Background Inherited factors contribute to lung cancer risk, but the mechanism is not well understood. Defining the biological consequence of GWAS hits in cancers is a promising strategy to elucidate the inherited mechanisms of cancers. The tag-SNP rs753955 (A>G) in 13q12.12 is highly associated with lung cancer risk in the Chinese population. Here, we systematically investigate the biological...
Network centrality reflects node importance in networks, which is a challenging problem in social network analysis. Based on Fuzzy Set and MYCIN theory, this paper proposes a novel node centrality measuring method and models n-monkeys dataset, where n is 20. Initially, we created monkeys relationship graph and generated relationship matrix based on the monkeys' encountering times in a specific time...
Mining web user trust relationship is important in web information credibility analysis. Motivated by the imprecise nature of trustiness, we propose a novel web user trust prediction method based on evidence theory, which uses user ratings to infer trust relationships between users, where each rating score is treated as an evidence. The method first generates basic probability assignments with training...
Measuring semantic similarity between words is a classical problem in nature language processing, the result of which can promote many applications such as machine translation, word sense disambiguation, ontology mapping, computational linguistics, etc. This paper combines knowledge-based methods with statistical methods in measuring words similarity, the novel aspect of which is that subjective Bayes...
The time of web page update appears to be erratic, how the user can fast access to valuable information has become one of the hot spots. From the view of application, we can use mathematical models to forecast the update time of news reports, although it can not be completely accurate. In this paper, we proposed a combined predict algorithm for news update. Firstly, we applied the Exponential Smoothing...
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