Hierachical cluster analysis using arraytrack select auto scale data?
I'm doing a hierarchical cluster analysis using arraytrack and I use a RNA-seq Z-score table. In my case, should I select auto scale data or not? I'm a bit confused. I tried both and the clusters look so different. Since the Z-score table is already normalized, I assume that re-normalization is not necessary.
Thanks, Hang
• 1,548 views
•
link
written
by
tud55122 •
0 answers
No answers yet.
Log in to answer this question.
More posts like this
-
rna-seq heatmap z-score calculation - TPM?
written by lyc1ne •
-
Z score
written by SKY •
-
Subsetting cells from a previously integrated Seurat dataset (scRNA-seq)
written by Song •
-
General approach for unsupervised clustering of bulk RNAseq samples and deriving/applying gene sign…
written by Mat •
-
high throughput drug screening
written by Ahmed.waraky •
-
Estimate lineage coupling score through R
written by rprog008 •
-
Is it acceptable to row scale VST transformed data for heatmaps?
written by Michael Gallagher •
-
Combining Gene Expression of Cell Lines and Primary Tumors
written by mavergara •
-
Protein name alignment for comparison and similarity score
written by adi0957 •
-
Is log-transformation needed to calculate Euclidean distance metric from FPKM/TPM?
written by John Ma
I agree. Z-scores are normalized and have mean of zero and standard deviation of one. So, I believe further scaling should not be necessary.