What is it about?
This research is about the architectural features of recurrent neural networks that make them suitable to processing biological sequences in bioinformatics problems. We discuss the fundamental characteristics of information problems in biological sequence analysis, and the properties of neural networks that render them suitable for these problems.
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Why is it important?
Understanding the world of biological information will require large amounts of computational effort. One way of accelerating this process is to use techniques that are uniquely appropriate to these problems.
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This page is a summary of: The Applicability of Recurrent Neural Networks for Biological Sequence Analysis, IEEE/ACM Transactions on Computational Biology and Bioinformatics, July 2005, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/tcbb.2005.44.
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