Question: lowess normalization of FPKM
gravatar for Assa Yeroslaviz
5.3 years ago by
Assa Yeroslaviz1.4k
Assa Yeroslaviz1.4k wrote:

Hi all,

we have a data set of two conditions with each three replicate. in our data ,we assume that there is a transcriptional amplification toward one of the conditions and therefore we used the ercc spikeIn in the data set.

To normalize the data set on the spikeIn level I have followed the method from the paper here.

"We used a loess regression to renormalize the RPKM values by using only the spike-in values to fit the loess. The affy package in R provides a function, loess.normalize, which will perform loess regression on a matrix of values ... Eighteen thousand five hundred and thirty-six genes with a RPKM value of 1.0 or greater in the low-Myc sample were selected, and the log2 fold ratio between the low-Myc and high-Myc samples were calculated and shown as a heatmap."

But is this the way to find significant genes? Just taking the renormalize values>=1?

To re-calculate the significance - Can I just calculate a t-test p-value and a FDR q-value?

What other methods do I have to calculate the new significance?







cuffdif lowess cuffdiff fpkm • 1.9k views
ADD COMMENTlink modified 5.3 years ago by Biostar ♦♦ 20 • written 5.3 years ago by Assa Yeroslaviz1.4k
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