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» Testing homogeneity of a large data set by bootstrapping
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BMCBI
2005
121views more  BMCBI 2005»
14 years 11 months ago
Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
Background: A critical step in processing oligonucleotide microarray data is combining the information in multiple probes to produce a single number that best captures the express...
Kerby Shedden, Wei Chen, Rork Kuick, Debashis Ghos...
ICML
2004
IEEE
16 years 20 days ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich
ICPR
2004
IEEE
16 years 29 days ago
Skin Detection: A Bayesian Network Approach
The automated detection and tracking of humans in computer vision necessitates improved modeling of the human skin appearance. In this paper we propose a Bayesian network approach...
Ira Cohen, Nicu Sebe, Theo Gevers, Thomas S. Huang
ICASSP
2010
IEEE
15 years 1 days ago
Toward signal processing theory for graphs and non-Euclidean data
Graphs are canonical examples of high-dimensional non-Euclidean data sets, and are emerging as a common data structure in many fields. While there are many algorithms to analyze ...
Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wol...
BIBE
2007
IEEE
120views Bioinformatics» more  BIBE 2007»
15 years 3 months ago
Quality Assessment of Affymetrix GeneChip Data using the EM Algorithm and a Naive Bayes Classifier
Recent research has demonstrated the utility of using supervised classification systems for automatic identification of low quality microarray data. However, this approach requires...
Brian E. Howard, Beate Sick, Imara Perera, Yang Ju...