Hi All,
I am in the midst of trying out different methods for measuring the statistical significance of gene expression levels in and RNA seq experiment. It seems like all the methods I come across (parametric and nonparamentric) require that expression measurements (or their errors) be independent of each other.
Sorry if this is a dumb question, but since genes are part of networks, are there not usually high levels of non-independence among expression value measurements in any transcriptome-wide analysis? Does this negate the usefulness of published statistical methods for detecting differential expression?
I am in the midst of trying out different methods for measuring the statistical significance of gene expression levels in and RNA seq experiment. It seems like all the methods I come across (parametric and nonparamentric) require that expression measurements (or their errors) be independent of each other.
Sorry if this is a dumb question, but since genes are part of networks, are there not usually high levels of non-independence among expression value measurements in any transcriptome-wide analysis? Does this negate the usefulness of published statistical methods for detecting differential expression?
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