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» Effects of experience bias when seeding with prior results
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BMCBI
2008
96views more  BMCBI 2008»
13 years 7 months ago
Use of normalization methods for analysis of microarrays containing a high degree of gene effects
Background: High-throughput microarrays are widely used to study gene expression across tissues and developmental stages. Analysis of gene expression data is challenging in these ...
Terri T. Ni, William J. Lemon, Yu Shyr, Tao P. Zho...
ESANN
2008
13 years 8 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
NIPS
2004
13 years 8 months ago
Constraining a Bayesian Model of Human Visual Speed Perception
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
Alan Stocker, Eero P. Simoncelli
IMC
2009
ACM
14 years 1 months ago
Internet optometry: assessing the broken glasses in internet reachability
Reachability is thought of as the most basic service provided by today’s Internet. Unfortunately, this does not imply that the community has a deep understanding of it. Research...
Randy Bush, Olaf Maennel, Matthew Roughan, Steve U...
BMCBI
2006
88views more  BMCBI 2006»
13 years 7 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