Background: Microarray analysis is an important area of bioinformatics. In the last few years, biclustering has become one of the most popular methods for classifying data from mi...
The CEDARS∗ project within UK academia seeks to develop a demonstrator system to recommend techniques for long-term storage of digital data primarily within the research library...
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...
This paper presents a novel VLSI architecture for high-speed data compressor designs which implement the well-known LZ77 algorithm. The architecture mainly consists of three units...