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Evolving hidden Markov models for protein secondary structure prediction.

, , , and . Congress on Evolutionary Computation, page 33-40. IEEE, (2005)

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Multi-Layer Networks, , and . Introduction to the Theory of Neural Computation, chapter 6, Addison-Wesley, New York, (1991)A Simple Weight Decay Can Improve Generalization, and . Advances in Neural Information Processing Systems 4, San Francisco, CA: Morgan Kaufmann, (1992)Hidden Markov Models for Human Genes., , , , and . NIPS, page 761-768. Morgan Kaufmann, (1993)Introduction to the theory of neural computation., , and . The advanced book program Addison-Wesley, (1991)Prediction of Structurally-Determined Coiled-Coil Domains with Hidden Markov Models., , , and . BIRD, volume 4414 of Lecture Notes in Computer Science, page 292-302. Springer, (2007)A General Method for Combining Predictors Tested on Protein Secondary Structure Prediction., and . ANNIMAB, page 259-264. Springer, (2000)CAncer bioMarker Prediction Pipeline (CAMPP) - A standardized framework for the analysis of quantitative biological data., , and . PLoS Comput. Biol., (2020)Discovery of Regulatory Elements is Improved by a Discriminatory Approach., , , and . PLoS Comput. Biol., (2009)Sequencing and de novo assembly of 150 genomes from Denmark as a population reference., , , , , , , , , and 49 other author(s). Nat., 548 (7665): 87-91 (2017)Prediction of Beta Sheets in Proteins., and . NIPS, page 917-923. MIT Press, (1995)