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» Bias and the limits of pooling
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INFOCOM
2010
IEEE
13 years 3 months ago
Elastic Rate Limiting for Spatially Biased Wireless Mesh Networks
—IEEE 802.11-based mesh networks can yield a throughput distribution among nodes that is spatially biased, with traffic originating from nodes that directly communicate with the...
Vincenzo Mancuso, Omer Gurewitz, Ahmed Khattab, Ed...
BMCBI
2007
99views more  BMCBI 2007»
13 years 4 months ago
Stratification bias in low signal microarray studies
Background: When analysing microarray and other small sample size biological datasets, care is needed to avoid various biases. We analyse a form of bias, stratification bias, that...
Brian J. Parker, Simon Günter, Justin Bedo
BMCBI
2010
136views more  BMCBI 2010»
13 years 4 months ago
Bias correction and Bayesian analysis of aggregate counts in SAGE libraries
Background: Tag-based techniques, such as SAGE, are commonly used to sample the mRNA pool of an organism's transcriptome. Incomplete digestion during the tag formation proces...
Russell L. Zaretzki, Michael A. Gilchrist, William...
BMCBI
2006
88views more  BMCBI 2006»
13 years 4 months ago
A two-sample Bayesian t-test for microarray data
Background: Determining whether a gene is differentially expressed in two different samples remains an important statistical problem. Prior work in this area has featured the use ...
Richard J. Fox, Matthew W. Dimmic
CCR
2008
99views more  CCR 2008»
13 years 4 months ago
The resource pooling principle
Since the ARPAnet, network designers have built localized mechanisms for statistical multiplexing, load balancing, and failure resilience, often without understanding the broader ...
Damon Wischik, Mark Handley, Marcelo Bagnulo Braun