bioRxiv · 10.1101/2020.06.16.154674
MOCCASIN: A method for correcting for known and unknown confounders in RNA splicing analysis
Abstract
While the effects of confounders on gene expression analysis have been extensively studied there is a lack of equivalent analysis and tools for RNA splicing analysis. Here we assess the effect of confounders in two large public RNA-Seq datasets (TARGET, ENCODE), develop a new method, MOCCASIN, to correct the effect of both known and unknown confounders on RNA splicing quantification, and demonstrate MOCCASINs effectiveness on both synthetic and real data.
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Slaff, B., Radens, C. M., Jewell, P., Jha, A., Lahens, N., Grant, G. R., Thomas-Tikhonenko, A., Lynch, K. W., Barash, Y.. 2020-06-17. MOCCASIN: A method for correcting for known and unknown confounders in RNA splicing analysis. https://doi.org/10.1101/2020.06.16.154674
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