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BMCBI
2006
147views more  BMCBI 2006»
13 years 8 months ago
Grouping Gene Ontology terms to improve the assessment of gene set enrichment in microarray data
Background: Gene Ontology (GO) terms are often used to assess the results of microarray experiments. The most common way to do this is to perform Fisher's exact tests to find...
Alex Lewin, Ian C. Grieve
CONEXT
2008
ACM
13 years 10 months ago
Troubleshooting chronic conditions in large IP networks
Chronic network conditions are caused by performance impairing events that occur intermittently over an extended period of time. Such conditions can cause repeated performance deg...
Ajay Mahimkar, Jennifer Yates, Yin Zhang, Aman Sha...
IDA
1998
Springer
13 years 8 months ago
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Sylvian R. Ray, William H. Hsu
CONCUR
2005
Springer
14 years 2 months ago
A Compositional Approach to the Stochastic Dynamics of Gene Networks
We propose a compositional approach to the dynamics of gene regulatory networks based on the stochastic π-calculus, and develop a representation of gene network elements which can...
Luca Cardelli
PRL
2011
12 years 11 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...