Automated multigroup outlier identification in molecular high-throughput data using bagplots and gemplots
Abstract Background Analyses of molecular high-throughput data often lack in robustness, i.e. results are very sensitive to the addition or removal of a single observation. Therefore, the identification of extreme observations is an important step of quality control before doing further data analysi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-05-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12859-017-1645-5 |