Sentence examples for batch effect can be from inspiring English sources

The magnitude of the batch effect can be significant or negligible, but it cannot be removed from the data without compromising the biological signal.

In the non-linear intensity case, if the batch effect can be modelled using a family-specific covariate that acts on the raw intensity data in an additive manner, this covariate will have the same effect on the parental and offspring intensities.

Our results show that batch effects can be attenuated statistically when proper experimental design is used.

Although batch effects can be reduced by careful experimental design, they cannot be eliminated unless the whole study is done in a single batch.

Batch effects can be a problem with RNAseq data [ 26].

Although some of these batch effects can be minimized or even prevented with appropriate precautions and experimental design, certain batch effects are unavoidable.

As other L/S adjustments, ComBat assumes that the batch effects can be modeled by standardizing means and variances across batches.

For example, in observational studies the effects of potentially confounding factors such as batch effects can be alleviated via careful use of randomisation.

Batch effects can be subdivided into two types, those that happen during manufacturing of the chip and those that happen during the processing of the chip.

Combining data from different batches without removing batch effects can give rise to misleading results, since the bias introduced by the non-biological nature of the batch effects can be strong enough to mask and/or confound true biological differences.

It has also been shown that batch effects can be mitigated using per-probe batch-correction methods such as mean-centring [ 14], distance-weighted discrimination (DWD) [ 16], or empirical-Bayes corrections [ 17].