Applying negative rule mining to improve genome annotation
<p>Abstract</p> <p>Background</p> <p>Unsupervised annotation of proteins by software pipelines suffers from very high error rates. Spurious functional assignments are usually caused by unwarranted homology-based transfer of information from existing database entries to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2007-07-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/8/261 |