Adjusting Batch Effects in Microarray Expression Data Using Empirical Bayes Methods.¶
Johnson, W. E., Li, C., & Rabinovic, A. (2007). Adjusting Batch Effects in Microarray Expression Data Using Empirical Bayes Methods. Biostatistics, 118-127.
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Primes¶
- Cross-Dimensional Leakage
- More samples within the same batch do not fix it; the remedy is to randomise condition across batches (decouple by design) or fit an explicit batch covariate (model the shared factor), then test which co-expression survives.
This sourceIntroduces ComBat, a batch-effect correction modelling the shared batch factor explicitly so that surviving co-expression can be tested.
- More samples within the same batch do not fix it; the remedy is to randomise condition across batches (decouple by design) or fit an explicit batch covariate (model the shared factor), then test which co-expression survives.
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Registry ID ref:7f242059796e · see in the full table