Meta-analysis of gene expression microarrays with missing replicates |
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| Authors: | Fan Shi Gad Abraham Christopher Leckie Izhak Haviv Adam Kowalczyk |
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| Affiliation: | (1) National ICT Australia, Victoria Research Laboratory, Level 2, Building 193, The University of Melbourne, 3010 Melbourne, Victoria, Australia;(2) Department of Computer Science and Software Engineering, The University of Melbourne, 3010 Parkville, Victoria, Australia;(3) Baker IDI Heart and Diabetes Institute, 250 Kooyong Road, 3162 Caulield, Victoria, Australia |
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| Abstract: | Background Many different microarray experiments are publicly available today. It is natural to ask whether different experiments for the same phenotypic conditions can be combined using meta-analysis, in order to increase the overall sample size. However, some genes are not measured in all experiments, hence they cannot be included or their statistical significance cannot be appropriately estimated in traditional meta-analysis. Nonetheless, these genes, which we refer to as incomplete genes, may also be informative and useful. |
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