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» Unfolding of Microarray Data
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ICML
2001
IEEE
14 years 9 months ago
Feature selection for high-dimensional genomic microarray data
We report on the successful application of feature selection methods to a classification problem in molecular biology involving only 72 data points in a 7130 dimensional space. Ou...
Eric P. Xing, Michael I. Jordan, Richard M. Karp
EVOW
2004
Springer
14 years 1 months ago
Evolutionary Search of Thresholds for Robust Feature Set Selection: Application to the Analysis of Microarray Data
Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...
Carlos Cotta, Christian Sloper, Pablo Moscato
BMCBI
2010
135views more  BMCBI 2010»
13 years 8 months ago
Delineation of amplification, hybridization and location effects in microarray data yields better-quality normalization
Background: Oligonucleotide arrays have become one of the most widely used high-throughput tools in biology. Due to their sensitivity to experimental conditions, normalization is ...
Marc Hulsman, Anouk Mentink, Eugene P. van Someren...
IV
2007
IEEE
112views Visualization» more  IV 2007»
14 years 2 months ago
Visualization of Growth Curve Data from Phenotype Microarray Experiments
Janet S. Jacobsen, Dominique C. Joyner, Sharon E. ...