Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator
Abstract Background Identification of non-trivial and meaningful patterns in omics data is one of the most important biological tasks. The patterns help to better understand biological systems and interpret experimental outcomes. A well-established method serving to explain such biological data is G...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
BMC
2020-09-01
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| سلاسل: | BioData Mining |
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://link.springer.com/article/10.1186/s13040-020-00219-6 |
| الوسوم: |
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