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Sage Coexpression, organic correlation algorithm | Sage Coexpression, WGCNA correlation algorithm | WGCNA Coexpression | WGCNA Coexpression, blocksize<=600
| Ssage Coexpr, WGCNA corr, TOM, and clust
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|---|
Unix space ('M' field from /usr/bin/time): 6471520KB (or 6.47GB) | Unix space ('M' field from /usr/bin/time):: 6474832K (6.47GB) | Unix space ('M' field from /usr/bin/time):: 1958480KB (1.96GB) | Unix space: 0.4 GB
| 5.9GB |
Unix time('E' field from /usr/bin/time): 14:04.38elapsed | Unix time('E' field from /usr/bin/time):13:33.74elapsed | Unix time('E' field from /usr/bin/time):2:07.23elapsed | Unix time: 1m:01s | 5:45.94 |
Unix space #2: 6472128 (6.47GB)
| Unix space #2: 6090192 (6.1GB)
| Unix space #2: 1922800 (1.9GB)
| | |
Unix time #2: 11:36.09elapsed | Unix time #2: 10:58.03elapsed | Unix time #2: 1:28.53elapsed | | |
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Module difference vs. this baseline (% of pairs for which the algorithm disagrees with this baseline on module co-membership):
| 0
| 7.4% | 9.1%
| |
Module co-membership comparison (vs. this column as a baseline):
| turquoise blue brown yellow green red grey black pink magenta purple greenyellow tan salmon cyan midnightblue lightcyan
turquoise 581 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
blue 0 488 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
brown 0 0 459 0 0 0 0 0 0 0 0 0 0 0 0 0 0
yellow 0 0 0 425 0 0 0 0 0 0 0 0 0 0 0 0 0
green 0 0 0 0 389 0 0 0 0 0 0 0 0 0 0 0 0
red 0 0 0 0 0 363 0 0 0 0 0 0 0 0 0 0 0
grey 0 0 0 0 0 0 200 0 0 0 0 0 0 0 0 0 0
black 0 0 0 0 0 0 0 122 0 0 0 0 0 0 0 0 0
pink 0 0 0 0 0 0 0 0 120 0 0 0 0 0 0 0 0
magenta 0 0 0 0 0 0 0 0 0 99 0 0 0 0 0 0 0
purple 0 0 0 0 0 0 0 0 0 0 87 0 0 0 0 0 0
greenyellow 0 0 0 0 0 0 0 0 0 0 0 78 0 0 0 0 0
tan 0 0 0 0 0 0 0 0 0 0 0 0 43 0 0 0 0
salmon 0 0 0 0 0 0 0 0 0 0 0 0 0 40 0 0 0
cyan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 37 0 0
midnightblue 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 35 0
lightcyan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 34 | yellow brown blue green turquoise red black pink magenta grey greenyellow purple tan salmon cyan lightcyan midnightblue
2 403 11 0 0 0 15 0 0 0 25 0 0 0 0 0 0 0
3 11 357 0 0 1 6 0 0 0 24 0 0 0 0 0 0 4
1 1 4 352 1 2 130 0 4 0 16 1 61 0 1 0 0 19
4 4 6 0 302 0 0 0 0 0 6 0 0 0 0 0 0 1
5 1 0 2 0 298 1 0 0 0 6 0 3 0 0 0 0 0
8 0 4 0 0 195 2 0 0 0 2 0 0 0 0 0 0 0
6 4 3 132 39 5 10 0 0 0 13 0 7 1 0 0 0 0
9 0 1 0 0 0 0 122 0 0 0 0 0 0 0 0 0 0
7 0 67 1 2 1 2 0 115 0 9 0 0 0 0 0 0 8
12 0 0 0 0 0 0 0 0 99 1 0 0 0 0 0 0 0
11 0 0 0 0 0 99 0 0 0 3 0 1 0 0 0 0 0
10 0 0 1 3 2 96 0 0 0 10 0 1 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 80 0 14 41 0 0 0 1
15 0 0 0 0 0 0 0 0 0 0 77 0 0 0 0 0 0
14 1 0 0 0 77 0 0 0 0 2 0 0 0 0 0 0 0
13 0 6 0 42 0 2 0 1 0 0 0 0 0 39 0 0 1
16 0 0 0 0 0 0 0 0 0 3 0 0 1 0 37 0 0
17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 34 0 | turquoise blue red green brown yellow black magenta grey pink purple greenyellow tan cyan lightcyan salmon midnightblue
3 280 13 3 0 1 3 0 0 9 0 0 0 0 0 0 0 0
1 5 239 225 5 0 1 0 1 8 15 0 1 0 0 0 5 8
5 0 3 0 223 1 0 0 0 5 0 0 0 0 0 0 0 0
2 8 0 4 9 218 61 0 0 17 2 0 0 0 0 0 0 0
4 0 2 22 6 10 185 1 0 18 0 0 0 0 0 0 0 0
7 173 0 1 18 0 0 0 0 3 0 0 0 0 0 0 0 0
6 0 3 19 1 4 170 0 0 2 0 0 0 0 0 0 0 0
13 0 0 0 0 0 0 120 0 0 0 0 0 0 0 0 0 0
10 0 111 6 11 5 0 0 0 0 0 0 3 0 0 0 0 1
8 0 0 3 11 108 0 0 0 11 7 0 0 0 0 0 3 13
9 6 0 6 4 106 3 1 0 11 5 0 0 0 0 0 0 9
11 8 100 0 19 2 2 0 0 0 0 0 0 0 0 0 0 0
16 0 0 0 0 0 0 0 98 1 0 0 0 0 0 0 0 0
0 0 0 1 1 2 0 0 0 93 0 0 0 43 0 0 0 0
17 0 0 0 0 0 0 0 0 0 91 0 0 0 0 0 0 0
14 4 5 7 0 0 0 0 0 3 0 87 0 0 0 0 0 0
15 14 10 1 0 0 0 0 0 0 0 0 74 0 0 0 1 0
12 1 1 65 37 1 0 0 0 15 0 0 0 0 0 0 1 4
19 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
18 0 0 0 40 1 0 0 0 1 0 0 0 0 0 0 30 0
20 0 0 0 0 0 0 0 0 3 0 0 0 0 37 0 0 0
22 0 0 0 1 0 0 0 0 0 0 0 0 0 0 34 0 0
21 32 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
| <<< Sage dendrogram and modules, with WGCNA modules underneath, for comparison.
WGCNA dendrogram and modules, with Sage modules underneath, for comparison. >>>>
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TOM Comparison
We captured the TOM matrices from the Sage and WGCNA algorithms. The values are the same (except for some small differences which look like rounding/accuracy differences) as illustrated in this scatter plot: 
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