3PRS: a personalized popular program recommendation system for digital TV for P2P social networks
Multimedia Tools and Applications
Identifying gene functions using functional expression profiles obtained by voxelation
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
CPRS: A cloud-based program recommendation system for digital TV platforms
Future Generation Computer Systems
A cloud-based intelligent TV program recommendation system
Computers and Electrical Engineering
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Numerous genome projects have produced a large and ever increasing amount of genomic sequence data. However, the biological functions of many proteins encoded by the sequences remain unknown. Protein function annotation and prediction become an essential and challenging task of post-genomic research. In this paper, we present an automated protein function prediction system based on a set of proteins of known biological functions. The functions of the proteins are characterized with gene ontology (GO) annotations. The prediction system uses a novel measure to calculate the pair-wise overall similarity between protein sequences. The protein function prediction is performed based on the GO annotations of similar sequences using a weighted k-nearest neighbor method. We show the prediction accuracies obtained using the model organism yeast (Sacchyromyces cerevisiae). The results indicate that the weighted k-nearest neighbor method significantly outperforms the regular k-nearest neighbor method for protein molecular function prediction.