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Batch effect correction software tools | RNA sequencing data analysis

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.
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