# How I normalize these two sets of data

I have average log fold change for a cluster of cells versus another cluster of cells by Seurat like below

         avg_logFC
TAGLN   -2.507833541
TXNRD1  1.093672244
MYL9    -1.579165463
ACTB    -1.482386539
ACTA2   -2.379757433
SQSTM1  1.227562767
ACTG2   -2.144757086


I have also mean log2 ratio of a set of proteins in treatment versus control like below (I converted protein IDs to gene symbol)

mean log2ratio  Gene Symbol
-0.3    CYFIP1
0.4     GNPTG
-0.3    WWC2
-0.5    TRPV4
-0.4    CHRM2
0.3     MFSD11
-0.3    ANXA11
0.3     CENPE
-0.4    RPL22L1
0.3     SAMD1


How I can normalize these two data or make them compatible for plotting a heatmap, pathway analysis, etc?

• You cannot normalise this further because it is already transformed and standardied "mean log2 ratio". Sauret uses PCA and tSNE, where normalisation is not needed. You have previously demontrated advanced skills in machine learning, for example using neural networks, so I am very surprised by this question – M__ May 27 '19 at 19:40