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BMCBI
2004
150views more  BMCBI 2004»
14 years 11 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
BMCBI
2004
90views more  BMCBI 2004»
14 years 11 months ago
Statistical monitoring of weak spots for improvement of normalization and ratio estimates in microarrays
Background: Several aspects of microarray data analysis are dependent on identification of genes expressed at or near the limits of detection. For example, regression-based normal...
Igor Dozmorov, Nicholas Knowlton, Yuhong Tang, Mic...
BMCBI
2004
106views more  BMCBI 2004»
14 years 11 months ago
Spotting effect in microarray experiments
Background: Microarray data must be normalized because they suffer from multiple biases. We have identified a source of spatial experimental variability that significantly affects...
Tristan Mary-Huard, Jean-Jacques Daudin, Sté...
BMCBI
2002
188views more  BMCBI 2002»
14 years 11 months ago
The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
David M. Mutch, Alvin Berger, Robert Mansourian, A...
CAL
2002
14 years 11 months ago
MinneSPEC: A New SPEC Benchmark Workload for Simulation-Based Computer Architecture Research
Abstract-- Computer architects must determine how to most effectively use finite computational resources when running simulations to evaluate new architectural ideas. To facilitate...
A. J. KleinOsowski, David J. Lilja