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» A Portfolio Approach to Algorithm Selection
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BMCBI
2008
186views more  BMCBI 2008»
15 years 3 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
SDM
2008
SIAM
136views Data Mining» more  SDM 2008»
15 years 4 months ago
Exploration and Reduction of the Feature Space by Hierarchical Clustering
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
Dino Ienco, Rosa Meo
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
15 years 5 months ago
A Robust Seedless Algorithm for Correlation Clustering
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Mohammad S. Aziz, Chandan K. Reddy
RECOMB
2000
Springer
15 years 6 months ago
Contig selection in physical mapping
In physical mapping, one orders a set of genetic landmarks or a library of cloned fragments of DNA according to their position in the genome. Our approach to physical mapping divi...
Steffen Heber, Jens Stoye, Jörg D. Hoheisel, ...
BMCBI
2004
127views more  BMCBI 2004»
15 years 3 months ago
Optimized LOWESS normalization parameter selection for DNA microarray data
Background: Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. One of the most commonly utilized normaliza...
John A. Berger, Sampsa Hautaniemi, Anna-Kaarina J&...