18 results on '"A. C. Wiese"'
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2. A Comparison of Machine Learning Models for Predicting CRISPR/Cas On-target Efficacy.
3. EvoDNN - Evolving Weights, Biases, and Activation Functions in a Deep Neural Network.
4. Non-coding RNA gene finding with combined partial covariance models.
5. Secondary structure element voting for RNA gene finding.
6. Combined covariance model for non-coding RNA gene finding.
7. An exploration of individual RNA structural elements in RNA gene finding.
8. Expanded study of efn2 thermodynamic model performance on RnaPredict, an evolutionary algorithm for RNA folding.
9. Performance prediction for RNA design using parametric and non-parametric regression models.
10. SARNA-ensemble-predict: The effect of different dissimilarity metrics on a novel ensemble-based RNA secondary structure prediction algorithm.
11. rnaDesign: Local search for RNA secondary structure design.
12. A hybrid clustering/evolutionary algorithm for RNA folding.
13. SARNA-Predict-pk: Predicting RNA secondary structures including pseudoknots.
14. SARNA-Predict: A Study of RNA Secondary Structure Prediction Using Different Annealing Schedules.
15. SARNA-Predict: A Simulated Annealing Algorithm for RNA Secondary Structure Prediction.
16. Analysis of Thermodynamic Models and Performance in RnaPredict - An Evolutionary Algorithm for RNA Folding.
17. Comparison of dynamic programming and evolutionary algorithms for RNA secondary structure prediction.
18. A parallel evolutionary algorithm for RNA secondary structure prediction using stacking-energies (INN and INN-HB).
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