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» Inference Algorithms for Similarity Networks
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121
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BMCBI
2007
130views more  BMCBI 2007»
14 years 10 months ago
A robust measure of correlation between two genes on a microarray
Background: The underlying goal of microarray experiments is to identify gene expression patterns across different experimental conditions. Genes that are contained in a particula...
Johanna S. Hardin, Aya Mitani, Leanne Hicks, Brian...
TMA
2010
Springer
314views Management» more  TMA 2010»
15 years 5 months ago
On the Use of TCP Passive Measurements for Anomaly Detection: A Case Study from an Operational 3G Network
In this work we discuss the use of passive measurements of TCP performance indicators in support of network operation and troubleshooting, presenting a case-study from a real 3G ce...
Peter Romirer-Maierhofer, Angelo Coluccia, Tobias ...
80
Voted
BMCBI
2010
137views more  BMCBI 2010»
14 years 10 months ago
Improving pairwise sequence alignment accuracy using near-optimal protein sequence alignments
Background: While the pairwise alignments produced by sequence similarity searches are a powerful tool for identifying homologous proteins - proteins that share a common ancestor ...
Michael L. Sierk, Michael E. Smoot, Ellen J. Bass,...
97
Voted
AICCSA
2006
IEEE
133views Hardware» more  AICCSA 2006»
15 years 4 months ago
Learning acyclic rules based on Chaining Genetic Programming
Multi-class problem is the class of problems having more than one classes in the data set. Bayesian Network (BN) is a well-known algorithm handling the multi-class problem and is ...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
103
Voted
BMCBI
2008
166views more  BMCBI 2008»
14 years 10 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf