The inference of genes that are truly associated with inherited human diseases from a set candidates resulting genetic linkage studies has been one the most challenging tasks in genetics. Although several computational approaches have proposed to prioritize candidate relying on protein-protein interaction (PPI) networks, these methods can usually cover less than half known genes. We propose rely biological process domain gene ontology construct semantic similarity network and then use infer...

Abstract The establishment of a landscape enhancers across human cells is crucial to deciphering the mechanism gene regulation, cell differentiation, and disease development. High-throughput experimental approaches, which contain successfully reported in typical lines, are still too costly time-consuming perform systematic identification specific different lines. Existing computational methods, capable predicting regulatory elements purely relying on DNA sequences, lack power line-specific...

Personalized recommender systems have been receiving more and attention in addressing the serious problem of information overload accompanying rapid evolution world-wide-web. Although traditional collaborative filtering approaches based on similarities between users achieved remarkable success, it has shown that existence popular objects may adversely influence correct scoring candidate objects, which lead to unreasonable recommendation results. Meanwhile, recent advances demonstrated...

Click-through rate (CTR) prediction is of great importance in such web applications as recommender systems, search, and online advertising. Exploring the interest a user through feature interactions behind massive behaviors users essential for CTR prediction. Recently, deep learning-based models have been proposed, which follow similar embedding multi-layer perception (MLP) paradigm achieve success both business research fields. However, existing studies ignore sequential characteristics...

Point-of-interest (POI) recommendations in location-based social networks (LBSNs) allow online users to discover various POIs for activities occurring the near future close their current locations. Research has verified that people’s preferences regarding are significantly affected by internal and external contextual factors, which therefore worth extensive study POI recommendation. However, although psychological effects have also been demonstrated be correlated with an individual’s...

Most disease-associated variants identified by genome-wide association studies (GWAS) exist in noncoding regions. In spite of the common agreement that such may disrupt biological functions their hosting regulatory elements, it remains a great challenge to characterize risk genetic variant within implicated genome sequence. Therefore, is essential develop an effective computational model not only capable predicting potential but also valid interpreting how function affected with occurrence...

In location-based social networks (LBSNs), point-of-interest (POI) recommendations facilitate access to information for people by recommending attractive locations they have not previously visited. Check-in data and various contextual factors are widely taken into consideration obtain people’s preferences regarding POIs in existing POI recommendation methods. psychological effect-based recommendations, the memory-based attenuation of with respect POIs, e.g., fact that more attention is paid...