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I have an RNA experiement with 2 factors, and one is confounding with the batch effect. Running ComBat seq on my data, with a formula of ComBat_seq(count_matrix, batch=batch, group = group), with the factor that is not a linear combination of the batch effect, results in a poor separation of my batches(only 2 out of 6 batches are separated). Running ComBat_seq(count_matrix, batch=batch) does still not yield a good separation on the data.
I have managed to obtained what I think it's a good separation of my data, only after running two consecutive corrections on the raw counts of the type: ComBat_seq(count_matrix, batch=batch),followed by ComBat_seq(count_matrix, batch=batch, group = group). The same batch is used for the second correction.
My question is, is this double adjusted data usable for any DE genes analysis?
The text was updated successfully, but these errors were encountered:
I have an RNA experiement with 2 factors, and one is confounding with the batch effect. Running ComBat seq on my data, with a formula of ComBat_seq(count_matrix, batch=batch, group = group), with the factor that is not a linear combination of the batch effect, results in a poor separation of my batches(only 2 out of 6 batches are separated). Running ComBat_seq(count_matrix, batch=batch) does still not yield a good separation on the data.
I have managed to obtained what I think it's a good separation of my data, only after running two consecutive corrections on the raw counts of the type: ComBat_seq(count_matrix, batch=batch),followed by ComBat_seq(count_matrix, batch=batch, group = group). The same batch is used for the second correction.
My question is, is this double adjusted data usable for any DE genes analysis?
The text was updated successfully, but these errors were encountered: