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» Analysis of DNA Sequence Pattern Using Probabilistic Neural ...
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EVOW
2010
Springer
13 years 6 months ago
Finding Gapped Motifs by a Novel Evolutionary Algorithm
Background: Identifying approximately repeated patterns, or motifs, in DNA sequences from a set of co-regulated genes is an important step towards deciphering the complex gene reg...
Chengwei Lei, Jianhua Ruan
JCNS
2011
87views more  JCNS 2011»
13 years 2 months ago
Information-geometric measure of 3-neuron firing patterns characterizes scale-dependence in cortical networks
To understand the functional connectivity of neural networks, it is important to develop simple and incisive descriptors of multineuronal firing patterns. Analysis at the pairwise...
Ifije E. Ohiorhenuan, Jonathan D. Victor
ISPAN
1999
IEEE
13 years 12 months ago
Location Updates and Probabilistic Tracking Algorithms for Mobile Cellular Networks
In this work, we develop a novel mathematical model to analyze di erent location update protocols for mobile cellular network. Our model can capture many important features of use...
John C. S. Lui, Cedric C. F. Fong, H. W. Chan
IADIS
2004
13 years 9 months ago
Modeling the Development of Scientific Competence in Chemistry
We have developed models of how strategies are constructed and retained as male and female high school and university students gain experience in solving online qualitative chemic...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...
BMCBI
2008
136views more  BMCBI 2008»
13 years 7 months ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...