Perhaps the most common question that a microarray study can ask is, “Between two given biological conditions, which genes exhibit changed expression levels?” Existing methods...
Will Sheffler, Eli Upfal, John Sedivy, William Sta...
— While earlier studies have pointed out that short-lived TCP flows (mice) may hurt long-lived TCP flows (elephants) in the long term, they provide insufficient insight for devel...
S. Ebrahimi-Taghizadeh, Ahmed Helmy, Sandeep K. S....
In this paper, we develop a new language construct to address one of the pitfalls of parallel programming: precise handling of events across parallel components. The construct, te...
William Thies, Michal Karczmarek, Janis Sermulins,...
The three problems of the title — the first two widely discussed in the literature, the third less well known but just as important for further development of object technology ...
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...