BOPA : a Bayesian hierarchical model for outlier expression detection
In many cancer studies, a gene may be expressed in some but not all of the disease samples, reflecting the complexity of the underlying disease. The traditional t-test assumes a mean shift for the tumor samples compared to normal samples and is thus not structured to capture partial differential exp...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/96790 http://hdl.handle.net/10220/13108 |