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» Spotting effect in microarray experiments
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BMCBI
2006
154views more  BMCBI 2006»
13 years 7 months ago
An improved procedure for gene selection from microarray experiments using false discovery rate criterion
Background: A large number of genes usually show differential expressions in a microarray experiment with two types of tissues, and the p-values of a proper statistical test are o...
James J. Yang, Mark C. K. Yang
BMCBI
2008
121views more  BMCBI 2008»
13 years 7 months ago
GeneTrailExpress: a web-based pipeline for the statistical evaluation of microarray experiments
Background: High-throughput methods that allow for measuring the expression of thousands of genes or proteins simultaneously have opened new avenues for studying biochemical proce...
Andreas Keller, Christina Backes, Maher Al-Awadhi,...
VR
2008
IEEE
110views Virtual Reality» more  VR 2008»
14 years 2 months ago
Transparent Cockpit: Visual Assistance System for Vehicle Using Retro-reflective Projection Technology
Camera / Camera For safety and operability of drivers while operating a vehicle, it is very important to obtain a wide field of vision. However, the space available for setting up...
Takumi Yoshida, Kensei Jo, Kouta Minamizawa, Hidea...
BMCBI
2008
125views more  BMCBI 2008»
13 years 7 months ago
MAID : An effect size based model for microarray data integration across laboratories and platforms
Background: Gene expression profiling has the potential to unravel molecular mechanisms behind gene regulation and identify gene targets for therapeutic interventions. As microarr...
Ivan Borozan, Limin Chen, Bryan Paeper, Jenny E. H...
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...