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BMCBI
2004
158views more  BMCBI 2004»
13 years 9 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
ICS
2009
Tsinghua U.
14 years 3 months ago
High-performance regular expression scanning on the Cell/B.E. processor
Matching regular expressions (regexps) is a very common workload. For example, tokenization, which consists of recognizing words or keywords in a character stream, appears in ever...
Daniele Paolo Scarpazza, Gregory F. Russell
BMCBI
2007
185views more  BMCBI 2007»
13 years 9 months ago
GEDI: a user-friendly toolbox for analysis of large-scale gene expression data
Background: Several mathematical and statistical methods have been proposed in the last few years to analyze microarray data. Most of those methods involve complicated formulas, a...
André Fujita, João Ricardo Sato, Car...
BMCBI
2006
167views more  BMCBI 2006»
13 years 9 months ago
GOurmet: A tool for quantitative comparison and visualization of gene expression profiles based on gene ontology (GO) distributi
Background: The ever-expanding population of gene expression profiles (EPs) from specified cells and tissues under a variety of experimental conditions is an important but difficu...
Jason M. Doherty, Lynn K. Carmichael, Jason C. Mil...
DC
2010
13 years 6 months ago
A taxonomy of process calculi for distribution and mobility
In this paper, we comparatively analyze some mainstream calculi for mobility and distribution, together with some of their variants: asynchronous -calculus, distributed -calculus,...
Daniele Gorla