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» Combined Gene Selection Methods for Microarray Data Analysis
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132
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BMCBI
2006
85views more  BMCBI 2006»
15 years 2 months ago
Use of physiological constraints to identify quantitative design principles for gene expression in yeast adaptation to heat shoc
Background: Understanding the relationship between gene expression changes, enzyme activity shifts, and the corresponding physiological adaptive response of organisms to environme...
Ester Vilaprinyó, Rui Alves, Albert Sorriba...
232
Voted
ACL
2009
15 years 13 days ago
A Framework of Feature Selection Methods for Text Categorization
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
Shoushan Li, Rui Xia, Chengqing Zong, Chu-Ren Huan...
126
Voted
BMCBI
2010
110views more  BMCBI 2010»
15 years 2 months ago
Missing value imputation for epistatic MAPs
Background: Epistatic miniarray profiling (E-MAPs) is a high-throughput approach capable of quantifying aggravating or alleviating genetic interactions between gene pairs. The dat...
Colm Ryan, Derek Greene, Gerard Cagney, Padraig Cu...
137
Voted
BMCBI
2010
139views more  BMCBI 2010»
15 years 2 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
105
Voted
BMCBI
2006
108views more  BMCBI 2006»
15 years 2 months ago
Probe set algorithms: is there a rational best bet?
Affymetrix microarrays have become a standard experimental platform for studies of mRNA expression profiling. Their success is due, in part, to the multiple oligonucleotide featur...
Jinwook Seo, Eric P. Hoffman