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Batch effect correction software tools | RNA sequencing data analysis

It is now known that unwanted noise and unmodeled artifacts such as batch effects can dramatically reduce the accuracy of statistical inference in genomic experiments. These sources of noise must be modeled and removed to accurately measure biological variability and to obtain correct statistical inference when performing high-throughput genomic analysis.

Source text:
(Leek, 2014) svaseq: removing batch effects and other unwanted noise from sequencing data. Nucleic Acids Res.

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