Learning models of biological sequences Book Section
| Authors: | Noble, W. S.; Leslie, C. |
| Editors: | Sammut, C.; Webb, G. I. |
| Article/Chapter Title: | Learning models of biological sequences |
| Abstract: | The field of bioinformatics developed in the 1980s and 1990s, largely focusing on the computational analysis of newly available collections of DNA and protein sequences. In this context, a wide variety of machine learning analysis methods have been developed to understand the evolutionary history and molecular biology function of such sequences. © 2025 Elsevier B.V., All rights reserved. |
| Keywords: | molecular biology; bioinformatics; learning systems; computational analysis; protein sequences; machine-learning; analysis method; evolutionary history; learning models; biological sequences |
| Book Title: | Encyclopedia of Machine Learning and Data Mining |
| ISBN: | 978-1-4899-7685-7 |
| Publisher: | Springer Science + Business Media, LLC |
| Publication Place: | New York, NY |
| Date Published: | 2017-01-01 |
| Start Page: | 723 |
| End Page: | 729 |
| Language: | English |
| DOI: | 10.1007/978-1-4899-7687-1_468 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Book Chapter -- Source: Scopus |
