Question: why the logFC is different between edgeR,DESeq2 results and fpkm logFC(log2(FPKM_tumor_mean/FPKM_normal_mean)?
0
gravatar for ZihaoXing
8 months ago by
ZihaoXing0
ZihaoXing0 wrote:

   i hava the RNAseq coutns data and fpkm data from TCGA, i want to know the fold change of tumor tissue RNAseq expression contrast of normal tissue RNAseq expression ,counts data is the RNA reads number, fpkm data is similar to real RNA expression. i found that the logFC results from DESeq2 and edgeR analyse using counts data  are different from that i use mean tumor fpkm data devide by normal fpkm data, i found that fold change  in fpkm is sifferent from the DESeq2 and edgeR fold change results . which fold cahnge  is better to choose ?

edger deseq2 counts fpkm fc • 227 views
ADD COMMENTlink modified 8 months ago by Gordon Smyth37k • written 8 months ago by ZihaoXing0
1

From what I know the fold change of edgeR and DESeq2 is calculated using normalization other than fpkm.

I would use one of edgeR or DESeq2.

ADD REPLYlink written 8 months ago by Udi Landau30

thanks Udi Landau, i will use the logFC value of edgeR or DESeq2.

ADD REPLYlink written 8 months ago by ZihaoXing0
Answer: why the logFC is different between edgeR,DESeq2 results and fpkm logFC(log2(FPKM
1
gravatar for Gordon Smyth
8 months ago by
Gordon Smyth37k
Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
Gordon Smyth37k wrote:

Your own simple logFC computation is not likely to be as good as the more sophisticated computation done by edgeR (or DESeq2).

LogFCs are computed by negative binomial generalized linear models.

ADD COMMENTlink modified 8 months ago • written 8 months ago by Gordon Smyth37k

thanks Gordon Smyth, i will use the logFC value of edgeR or DESeq2 results.

ADD REPLYlink written 8 months ago by ZihaoXing0
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