Articles

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Computation Intelligence Method to Find Generic Non-Coding RNA Search Models, IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (2010)

Fairly effective methods exist for finding new noncoding RNA genes using search models based on...

 

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Joint Loop End Modeling Improves Covariance Model Based Non-coding RNA Gene Search, Lecture Notes in Computer Science (2010)

The effect of more detailed modeling of the interface between stem and loop in non-coding...

 

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RNA Search with Decision Trees and Partial Covariance Models, IEEE/ACM Transactions on Computational Biology and Bioinformatics (2009)

The use of partial covariance models to search for RNA family members in genomic sequence...

 

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Integrating Thermodynamic and Observed-Frequency Data for Non-Coding RNA Gene Search (with Kay C. Wiese), Electrical and Computer Engineering Faculty Publications and Presentations (2008)

Among the most powerful and commonly used methods for finding new members of non-coding RNA...

 

Efficient Non-Coding RNA Gene Searches through Classical and Evolutionary Methods, International Journal of Computational Intelligence in Bioinformatics and Systems Biology (2008)

Successful non-coding RNA gene searching requires examination of long-range intramolecular base pairing possibilities. This results...

 

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Efficient Non-Coding RNA Gene Searches Through Classical and Evolutionary Methods, International Journal of Computational Intelligence in Bioinformatics and Systems Biology (2008)

Successful non-coding RNA gene searching requires examination of long-range intramolecular base pairing possibilities. This results...

 

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Improved Covariance Model Parameter Estimation Using RNA Thermodynamic Properties (with Kay C. Wiese), Bio-Inspired Models of Network, Information and Computing Systems (2007)

Covariance models are a powerful description of non-coding RNA (ncRNA) families that can be used...

 

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RNA Gene Finding with Biased Mutation Operators, Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (2007)

The use of genetic algorithms for non-coding RNA gene finding has previously been investigated and...

 

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Covariance Searches for ncRNA Gene Finding, Computational Intelligence and Bioinformatics and Computational Biology (2006)

The use of covariance models for non-coding RNA gene finding is extremely powerful and also...

 

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A Genetic Algorithms Approach to Non-coding RNA Gene Searches, IEEE Mountain Workshop on Adaptive and Learning Systems (2006)

A genetic algorithm is proposed as an alternative to the traditional linear programming method for...

 

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Accelerated Non-coding RNA Searches with Covariance Model Approximations, IEEE Congress on Evolutionary Computation (2006)

Covariance models (CMs) are a very sensitive tool for finding non-coding RNA (ncRNA) genes in...

 

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Truncated Profile Hidden Markov Models, Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (2005)

The profile hidden Markov model (HMM) is a powerful method for remote homolog database search....

 

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Searching for Protein Classification Features, The IEEE Congress on Evolutionary Computation (2005)

A genetic algorithm is used to search for a set of classification features for a...

 

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An Asynchronous GALS Interface with Applications, IEEE Workshop on Microelectronics and Electron Devices (2004)

A low-latency asynchronous interface for use in globally-asynchronous locally-synchronous (GALS) integrated circuits is presented. The...

 

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Protein Family Classification Using Structural and Sequence Information, Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (2004)

Protein family classification usually relies on sequence information (as in the case of hidden Markov...