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Sign upClarity around logFC for gene_stats #9
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Thanks for the report, and there have been some changes to clarify the logFC. First, the Line 12 in 5aeef4b Second, in the documentation, I have added the detailed description as follows: Line 21 in 5aeef4b To test the latest version, please use Thanks, Hyun-Hwan Jeong |
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Thanks, much appreciated.
…On Tue, 26 May 2020 at 20:00, Hyun-Hwan Jeong ***@***.***> wrote:
Thanks for the report, and there have been some changes to clarify the
logFC.
First, the logFC_level argument has been added. The default value of the
argument is set to "sgRNA" (i.e. it will be set to "sgRNA" if there is no
value is assigned) because to make the default mode produces the same
result what the previous version had produced. In the later version, it is
possible to change the default value.
https://github.com/LiuzLab/CB2/blob/5aeef4b5efd4c7ce82f9b1c11d5159d075275c97/man/measure_gene_stats.Rd#L12
Second, in the documentation, I have added the detailed description as
follows:
https://github.com/LiuzLab/CB2/blob/5aeef4b5efd4c7ce82f9b1c11d5159d075275c97/man/measure_gene_stats.Rd#L21
To test the latest version, please use devtools to install. I will submit
it to cran.
Thanks,
Hyun-Hwan Jeong
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It is now available in cran. |
Hi,
log2(est$cpm_b + 1) - log2(est$cpm_a + 1)
mean(logFC) of all sgRNA in that gene.
This has the unfortunate effect that if you try and re-calculate the logFC from the cpm values in the sheet level data, you get a difference. It is worth being explicit about this, or having multiple CPMs (although that would create confusion).
Best wishes
Alistair