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Machine learning and genome annotation: a match meant to be?
By its very nature, genomics produces large, high-dimensional datasets that are well suited to analysis by machine learning approaches. Here, we explain some key aspects of machine learning that make it useful for genome annotation, with illustrative examples from ENCODE.
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2013
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053789/ https://www.ncbi.nlm.nih.gov/pubmed/23731483 http://dx.doi.org/10.1186/gb-2013-14-5-205 |
| _version_ | 1782320439854366720 |
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| author | Yip, Kevin Y Cheng, Chao Gerstein, Mark |
| author_facet | Yip, Kevin Y Cheng, Chao Gerstein, Mark |
| author_sort | Yip, Kevin Y |
| collection | PubMed |
| description | By its very nature, genomics produces large, high-dimensional datasets that are well suited to analysis by machine learning approaches. Here, we explain some key aspects of machine learning that make it useful for genome annotation, with illustrative examples from ENCODE. |
| format | Online Article Text |
| id | pubmed-4053789 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2013 |
| publisher | BioMed Central |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-40537892014-06-13 Machine learning and genome annotation: a match meant to be? Yip, Kevin Y Cheng, Chao Gerstein, Mark Genome Biol Review By its very nature, genomics produces large, high-dimensional datasets that are well suited to analysis by machine learning approaches. Here, we explain some key aspects of machine learning that make it useful for genome annotation, with illustrative examples from ENCODE. BioMed Central 2013 2013-05-29 /pmc/articles/PMC4053789/ /pubmed/23731483 http://dx.doi.org/10.1186/gb-2013-14-5-205 Text en Copyright © 2013 BioMed Central Ltd |
| spellingShingle | Review Yip, Kevin Y Cheng, Chao Gerstein, Mark Machine learning and genome annotation: a match meant to be? |
| title | Machine learning and genome annotation: a match meant to be? |
| title_full | Machine learning and genome annotation: a match meant to be? |
| title_fullStr | Machine learning and genome annotation: a match meant to be? |
| title_full_unstemmed | Machine learning and genome annotation: a match meant to be? |
| title_short | Machine learning and genome annotation: a match meant to be? |
| title_sort | machine learning and genome annotation: a match meant to be? |
| topic | Review |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053789/ https://www.ncbi.nlm.nih.gov/pubmed/23731483 http://dx.doi.org/10.1186/gb-2013-14-5-205 |
| work_keys_str_mv | AT yipkeviny machinelearningandgenomeannotationamatchmeanttobe AT chengchao machinelearningandgenomeannotationamatchmeanttobe AT gersteinmark machinelearningandgenomeannotationamatchmeanttobe |