Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
The Standard Template Adaptive Parallel Library (stapl) is a parallel programming framework that extends C++ and stl with support for parallelism. stapl provides a collection of pa...
Gabriel Tanase, Chidambareswaran Raman, Mauro Bian...
Background: Haplotype-based approaches have been extensively studied for case-control association mapping in recent years. It has been shown that haplotype methods can provide mor...