Transform table to combine data

Hello,
I would like to compare the information form this table using a heatmap. I previously wrote it this way:
cdata=T.NX
xvalues=T.GeneName
yvalues=T.TissueType
h=heatmap(xvalues,yvalues,cdata)
However, my x and y values both contain duplicate values so it cannot be plotted.
This is what my table T looks like
Gene GeneName TissueType NX
___________________ ________ _______________ _____
{'ENSG00000163347'} CLDN1 colon 7.2
{'ENSG00000134873'} CLDN10 colon 0.6
{'ENSG00000013297'} CLDN11 colon 3.4
{'ENSG00000163347'} CLDN1 duodenum 0.1
{'ENSG00000134873'} CLDN10 duodenum 1.4
{'ENSG00000013297'} CLDN11 duodenum 2.2
{'ENSG00000163347'} CLDN1 small intestine 0.4
{'ENSG00000134873'} CLDN10 small intestine 0.5
{'ENSG00000013297'} CLDN11 small intestine 2.6
I would like to modify the table to be:
CLDN1 CLDN10 CLDN11
colon 7.2 0.6 3.4
duodenum 0.1 1.4 2.2
small intestine 0.4 0.5 2.6
My original T table is 72x4 so recreating a table manually is not an option. How can I group my variables so that it can look this way?
Thanks

1 Comment

You forgot to attach your table T in a .mat file with the paper clip icon.
save('answers.mat', 'T');
Most people are probably waiting for that.

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 Accepted Answer

You can use the function unstack to accomplish this. Read documentation for more details
if true
U = unstack(T,'NX','GeneName')
end

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