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ISBRA
2007
Springer
15 years 10 months ago
Noise-Based Feature Perturbation as a Selection Method for Microarray Data
Abstract. DNA microarrays can monitor the expression levels of thousands of genes simultaneously, providing the opportunity for the identification of genes that are differentiall...
Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Stev...
ICIS
2004
15 years 5 months ago
Information Technology and Product Variety: Evidence from Panel Data
This paper examines the relationship between information technology and product variety. Consistent with prior theoretical work, we argue that IT and product variety are complemen...
Guodong Gao, Lorin M. Hitt
CORR
2006
Springer
105views Education» more  CORR 2006»
15 years 4 months ago
Generalization error bounds in semi-supervised classification under the cluster assumption
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...
Philippe Rigollet
MICRO
2006
IEEE
132views Hardware» more  MICRO 2006»
15 years 10 months ago
Data-Dependency Graph Transformations for Superblock Scheduling
The superblock is a scheduling region which exposes instruction level parallelism beyond the basic block through speculative execution of instructions. In general, scheduling supe...
Mark Heffernan, Kent D. Wilken, Ghassan Shobaki
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&...