Abstract
We use Latent Semantic Analysis as a basis to study the languages of life. Using this approach we derive techniques to discover latent relationships between organisms such as significant motifs and evolutionary features. Doubly Singular Value Decomposition is defined and the significance of this adaptation is demonstrated by finding a phylogeny of twenty prokaryotes. Minimal Killer Words are used to define families of organisms from negative information. The application of these words makes it possible to automatically retrieve the coding frame of a sequence from any organism.
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Rossi, R.A. (2009). Latent Semantic Analysis of the Languages of Life. In: Cai, Z., Li, Z., Kang, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2009. Communications in Computer and Information Science, vol 51. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04962-0_15
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DOI: https://doi.org/10.1007/978-3-642-04962-0_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04961-3
Online ISBN: 978-3-642-04962-0
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