Segmentation of texts and biological sequences into lexical and structural units using a machine-learning approach
| Authors | |
|---|---|
| Year of publication | 2005 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 1st International Summer School on Computational Biology |
| MU Faculty or unit | |
| Citation | |
| web | http://www.cba.muni.cz/summer-school2005/index.php |
| Field | Informatics |
| Keywords | machine learning ; segmentation; I-sites |
| Description | Results demonstrate that segmentation problems in the linguistic domain and protein sequence domain are similar and can be treated with similar computational tools. From our point of view protein sequences contain segments that are analogical to words in natural language. |
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