This paper introduces an approach for identifying predictive structures in relational data using the multiple-instance framework. By a predictive structure, we mean a structure th...
The prediction of protein 3D structure has become a hot research area in the post-genome era, through which people can understand a protein’s function in health and disease, exp...
Wenlong Li, Tao Wang, Eric Li, D. Baker, Li Jin, S...
My research investigates into using Markov chains to make link prediction and the transition matrix derived from Markov chains to acquire structural knowledge about Web sites. The ...
State of the art Tree Structures Prediction techniques rely on bottom-up decoding. These approaches allow the use of context-free features and bottom-up features. We discuss the l...
Background: gene identification in genomic DNA sequences by computational methods has become an important task in bioinformatics and computational gene prediction tools are now es...