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wolski avatar wolski commented on July 29, 2024 1

Hello @fabianegli ,

I decided to go with your suggestion "logged intensity ratio (M)" and "mean logged intensities (A)".
See commit: 87b00f6

Thanks for your help.

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wolski avatar wolski commented on July 29, 2024

Agreed that it could be improved. Could you help me choose a better Axis labels for X and Y

"M" and "A"
"log fold change" and "mean expression"
"log fold change" and "normalized mean expression"
But what if a different normalization e.g. "asinh", is used?
or for consistency
"c1- c2" and "(c1+c2)/2"

"normalized fold change" and "normalized mean expression"

or maybe, if I would use the names of the contrasts i could generate something like
"Treatment - Control" vs "Treatment + Control"
but this would be harder to implement.

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fabianegli avatar fabianegli commented on July 29, 2024

Hard to say what's best, since the data is not always the same.

I see three possible solutions:

  • supply the labels when calling the ma_plot function
  • have the data supplied to the ma_plot function bring along the labels
  • hardcoding the labels

Since the data might be changing, it might be a good idea to use something generic as default, like "change" and "average", but I see that a valid approach would also be to use the "original" axis labels: "logged intensity ratio (M)" and "mean logged intensities (A)" (have no clue "how" original that actually is, if at all).

... or another example from Experimental Design and Analysis of Microarray Data Claire H. Wilson: "M = log2 (Fold Change)" and "A = log2 (Average Intensity)"

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fabianegli avatar fabianegli commented on July 29, 2024

Great, glad to hear and that it was of help.

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