Tag Archives: data normalization

Eliminating platform-based bias

rna-seq

Molecular subtypes of cancers and autoimmune disease, defined by transcriptomic profiling, have provided insight into disease pathogenesis, molecular heterogeneity, and therapeutic responses. However, technical biases inherent to different gene...

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How choice of analysis pipeline affects your data

rna-seq

Numerous statistical pipelines are now available for the differential analysis of gene expression measured with RNA-sequencing technology. Most of them are based on similar statistical frameworks after normalization, differing primarily in the choice of data distribution, mean and variance estimation ...

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An integrative method to normalize RNA-Seq data

rna-seq

Transcriptome sequencing is a powerful tool for measuring gene expression, but as well as some other technologies, various artifacts and biases affect the quantification. In order to correct some of them, several normalization approaches have emerged, differing both in the ...

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