Background: Single nucleotide polymorphisms (SNPs) are important tools in studying complex genetic traits and genome evolution. Computational strategies for SNP discovery make use...
Jifeng Tang, Ben Vosman, Roeland E. Voorrips, C. G...
Information visualization faces challenges presented by the need to represent abstract data and the relationships within the data. Previously, we presented a system for visualizin...
Ed Huai-hsin Chi, John Riedl, Elizabeth Shoop, Joh...
Mashup is a web technology that combines information from more than one source into a single web application. This technique provides a new platform for different data providers ...
Noman Mohammed, Benjamin C. M. Fung, Ke Wang, Patr...
Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...