Approaches to reduce false positives and false negatives in the analysis of microarray data: applications in type 1 diabetes research
<p>Abstract</p> <p>Background</p> <p>As studies of molecular biology system attempt to achieve a comprehensive understanding of a particular system, Type 1 errors may be a significant problem. However, few investigators are inclined to accept the increase in Type 2 erro...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2008-09-01
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| Series: | BMC Genomics |