MetaboAnalyst currently supports nine well-established methods (ComBat, EigenMS, QC-RLSC, ANCOVA, RUV-random, RUV2, RUVseq, NOMIS and CCMN) for batch effect correction.
An example with 3 batches can be downloaded here. Please unzip first and then upload each individually.
A fixed frame format should be followed according to rules below.
This is an example for samples in rows. Samples Class Batch Order Peak1_IS Peak2 S1 UC B1 1 3420.066635 3595.399657 S2 UC B1 2 3332.438928 3522.81833 S3 UC B1 3 3384.851346 3705.3387 S4 UC B1 4 3593.814736 3574.25952 QC1_PR QC B1 5 3396.273977 3407.036329 WX_QC2 QC B1 6 3400.617135 3497.152902 S5 UC B1 7 3507.520099 3353.17866 S6 UC B1 8 3454.915853 3569.033028 S7 UC B1 9 3628.471947 3484.903494
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