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» Using Bayesian networks to analyze expression data
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BMCBI
2005
190views more  BMCBI 2005»
14 years 10 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
BMCBI
2006
93views more  BMCBI 2006»
14 years 10 months ago
A summarization approach for Affymetrix GeneChip data using a reference training set from a large, biologically diverse database
Background: Many of the most popular pre-processing methods for Affymetrix expression arrays, such as RMA, gcRMA, and PLIER, simultaneously analyze data across a set of predetermi...
Simon Katz, Rafael A. Irizarry, Xue Lin, Mark Trip...
ISNN
2007
Springer
15 years 4 months ago
Two-Dimensional Bayesian Subspace Analysis for Face Recognition
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
Daoqiang Zhang
SIGCOMM
2006
ACM
15 years 4 months ago
Algorithms to accelerate multiple regular expressions matching for deep packet inspection
There is a growing demand for network devices capable of examining the content of data packets in order to improve network security and provide application-specific services. Most...
Sailesh Kumar, Sarang Dharmapurikar, Fang Yu, Patr...
ICIP
2003
IEEE
15 years 11 months ago
Techniques for automatic video content derivation
In this paper, we focus on the use of three different techniques that support automatic derivation of video content from raw video data, namely, a spatio-temporal rule-based metho...
Milan Petkovic, Vojkan Mihajlovic, Willem Jonker