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» Statistical Debugging of Sampled Programs
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143
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BMCBI
2010
161views more  BMCBI 2010»
15 years 3 months ago
CGHpower: exploring sample size calculations for chromosomal copy number experiments
Background: Determining a suitable sample size is an important step in the planning of microarray experiments. Increasing the number of arrays gives more statistical power, but ad...
Ilari Scheinin, Jose A. Ferreira, Sakari Knuutila,...
126
Voted
OOPSLA
2010
Springer
15 years 2 months ago
Instrumentation and sampling strategies for cooperative concurrency bug isolation
Fixing concurrency bugs (or crugs) is critical in modern software systems. Static analyses to find crugs such as data races and atomicity violations scale poorly, while dynamic a...
Guoliang Jin, Aditya V. Thakur, Ben Liblit, Shan L...
134
Voted
WABI
2009
Springer
128views Bioinformatics» more  WABI 2009»
15 years 10 months ago
A General Framework for Local Pairwise Alignment Statistics with Gaps
We present a novel dynamic programming framework that allows one to compute tight upper bounds for the p-values of gapped local alignments in pseudo–polynomial time. Our algorith...
Pasi Rastas
132
Voted
BMCBI
2006
98views more  BMCBI 2006»
15 years 3 months ago
Scanning sequences after Gibbs sampling to find multiple occurrences of functional elements
Background: Many DNA regulatory elements occur as multiple instances within a target promoter. Gibbs sampling programs for finding DNA regulatory elements de novo can be prohibiti...
Kannan Tharakaraman, Leonardo Mariño-Ram&ia...
112
Voted
IEEEPACT
2003
IEEE
15 years 9 months ago
Picking Statistically Valid and Early Simulation Points
Modern architecture research relies heavily on detailed pipeline simulation. Simulating the full execution of an industry standard benchmark can take weeks to months to complete. ...
Erez Perelman, Greg Hamerly, Brad Calder