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BMCBI
2006
202views more  BMCBI 2006»
13 years 8 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
HEURISTICS
2008
124views more  HEURISTICS 2008»
13 years 8 months ago
A variable neighborhood search for the capacitated arc routing problem with intermediate facilities
In this talk we present a unified Variable Neighborhood Search (VNS) algorithm for the Capacitated Arc Routing Problem (CARP) and some of its variants - the Capacitated Arc Routin...
Michael Polacek, Karl F. Doerner, Richard F. Hartl...
BMCBI
2006
165views more  BMCBI 2006»
13 years 8 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
BMCBI
2006
86views more  BMCBI 2006»
13 years 8 months ago
Microbial identification by mass cataloging
Background: The public availability of over 180,000 bacterial 16S ribosomal RNA (rRNA) sequences has facilitated microbial identification and classification using hybridization an...
Zhengdong Zhang, George W. Jackson, George E. Fox,...
BMCBI
2006
153views more  BMCBI 2006»
13 years 8 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
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