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BMCBI
2006
154views more  BMCBI 2006»
13 years 11 months ago
Analysis with respect to instrumental variables for the exploration of microarray data structures
Background: Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various fa...
Florent Baty, Michaël Facompré, Jan Wi...
BMCBI
2008
149views more  BMCBI 2008»
13 years 9 months ago
MD-SeeGH: a platform for integrative analysis of multi-dimensional genomic data
Background: Recent advances in global genomic profiling methodologies have enabled multidimensional characterization of biological systems. Complete analysis of these genomic prof...
Bryan Chi, Ronald J. deLeeuw, Bradley P. Coe, Raym...
BMCBI
2008
160views more  BMCBI 2008»
13 years 11 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
BMCBI
2008
124views more  BMCBI 2008»
13 years 11 months ago
Ontology-based, Tissue MicroArray oriented, image centered tissue bank
Background: Tissue MicroArray technique is becoming increasingly important in pathology for the validation of experimental data from transcriptomic analysis. This approach produce...
Federica Viti, Ivan Merelli, Andrea Caprera, Barba...
CPHYSICS
2006
204views more  CPHYSICS 2006»
13 years 11 months ago
Genetically controlled random search: a global optimization method for continuous multidimensional functions
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
Ioannis G. Tsoulos, Isaac E. Lagaris