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  • Hefei Zhao

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  • A 3in1 omics data visualization and analytical method

on 3 Oct 2022
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x=rand(10,10)
x = 10×10
0.0173 0.1601 0.6695 0.5611 0.0226 0.3041 0.8907 0.4539 0.6877 0.0236 0.5375 0.3839 0.0101 0.8654 0.4913 0.0404 0.6542 0.3546 0.4445 0.9136 0.0202 0.0460 0.2271 0.7512 0.9422 0.4300 0.6440 0.4837 0.2902 0.3709 0.5978 0.9055 0.4978 0.1143 0.2390 0.8134 0.8388 0.0931 0.2354 0.2200 0.7042 0.1036 0.4659 0.3200 0.0777 0.7123 0.9836 0.9282 0.9723 0.1081 0.3602 0.5395 0.5614 0.7513 0.4312 0.1875 0.5999 0.3511 0.0260 0.9391 0.0330 0.0910 0.4406 0.8350 0.0902 0.6034 0.3817 0.7547 0.8436 0.3895 0.2843 0.8468 0.3918 0.6393 0.4440 0.1530 0.2538 0.4105 0.7867 0.1043 0.6105 0.2041 0.5581 0.2254 0.9552 0.8024 0.7770 0.1668 0.6148 0.9885 0.1984 0.0573 0.4677 0.1287 0.0230 0.1079 0.7346 0.8596 0.5175 0.0772
●
h=bar3(x,'detached')
h =
1×10 Surface array: Surface Surface Surface Surface Surface Surface Surface Surface Surface Surface
colormap (jet)
set(h,'FaceAlpha',.5)
shading interp
view(-25, 83)
set(h,'EdgeColor','k')
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