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» Performance data collection using a hybrid approach
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BMCBI
2010
106views more  BMCBI 2010»
15 years 1 months ago
Identification and correction of previously unreported spatial phenomena using raw Illumina BeadArray data
Background: A key stage for all microarray analyses is the extraction of feature-intensities from an image. If this step goes wrong, then subsequent preprocessing and processing s...
Mike L. Smith, Mark J. Dunning, Simon Tavaré...
SIGIR
2006
ACM
16 years 13 days ago
Using historical data to enhance rank aggregation
Rank aggregation is a pervading operation in IR technology. We hypothesize that the performance of score-based aggregation may be affected by artificial, usually meaningless devia...
Miriam Fernández, David Vallet, Pablo Caste...
HPCC
2007
Springer
16 years 20 days ago
Hybrid Line Search for Multiobjective Optimization
Abstract. The aggregation of objectives in multiple criteria programming is one of the simplest and widely used approach. But it is well known that these techniques sometimes fail ...
Crina Grosan, Ajith Abraham
MSS
1999
IEEE
115views Hardware» more  MSS 1999»
15 years 10 months ago
Managing Databases with Binary Large Objects
We present recommendations on Performance Management for databases supporting Binary Large Objects (BLOB) that, under a wide range of conditions, save both storage space and datab...
Michael Shapiro, Ethan L. Miller
BMCBI
2004
208views more  BMCBI 2004»
15 years 6 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov