File size: 3,160 Bytes
c64ac01
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
{
 "format": "oscr-script-manifest/1",
 "repository": "figshare:32049330",
 "url": "10.6084/m9.figshare.32049330",
 "host": "figshare.com",
 "commit": "",
 "license": "CC-BY-4.0",
 "license_confirmed_by": "license of the archive's record",
 "redistribution": "yes",
 "files": [
  {
   "path": "gretna_FDR.m",
   "sha256": "c29d6c4b23c79e5760a2c1e7ceca6fa3ba62ad0ffca23a1eb98279e7ae4db4ee",
   "language": "MATLAB",
   "lines": 38,
   "truncated": false,
   "block": 6,
   "row": 6121
  },
  {
   "path": "gretna_TFNBS_ftest.m",
   "sha256": "fea958be99fde2c093beed712dc1d73202b3bfb968b230a4169e43f8fcbd7160",
   "language": "MATLAB",
   "lines": 589,
   "truncated": false,
   "block": 6,
   "row": 19048
  },
  {
   "path": "gretna_centroid_coor_rois.m",
   "sha256": "050ec17f165ae5993f4ae646722030e7f1339f3feabcb7b014c5096e8a92d439",
   "language": "MATLAB",
   "lines": 49,
   "truncated": false,
   "block": 6,
   "row": 7405
  },
  {
   "path": "gretna_removal_covariate_effect.m",
   "sha256": "4f33016f9b762a8c963906ff05831415f22f205a04aa997d5e6007dc80f511b8",
   "language": "MATLAB",
   "lines": 75,
   "truncated": false,
   "block": 6,
   "row": 12309
  },
  {
   "path": "moran_randomization.m",
   "sha256": "5124abd3d651978dc69288453faa0627ee67c619285a16fa79dcbe827e132473",
   "language": "MATLAB",
   "lines": 101,
   "truncated": false,
   "block": 6,
   "row": 13231
  },
  {
   "path": "step1_removal_effects.m",
   "sha256": "f7ba2c84efaaa8642951b269619ef88e9c3cd9b3eb93ec51f8e32136c2f43708",
   "language": "MATLAB",
   "lines": 66,
   "truncated": false,
   "block": 6,
   "row": 9847
  },
  {
   "path": "step2_MC.m",
   "sha256": "818e2f20625f5c5bd5a7e13308a0251175c3bad0d362012703f17c1d7cfef9d4",
   "language": "MATLAB",
   "lines": 33,
   "truncated": false,
   "block": 6,
   "row": 5980
  },
  {
   "path": "step3_net_para.m",
   "sha256": "bed8998751da52c26f1b7a863bdd67db61a92920999834986d5fb34035c4b9b2",
   "language": "MATLAB",
   "lines": 68,
   "truncated": false,
   "block": 6,
   "row": 10648
  },
  {
   "path": "step4_node_fdr.m",
   "sha256": "c2d34447e76cd0ad7303023eb0755ee02b1d265e2bae551ef586c74ebf00198d",
   "language": "MATLAB",
   "lines": 95,
   "truncated": false,
   "block": 6,
   "row": 11899
  },
  {
   "path": "step5_cotical_T_PET.m",
   "sha256": "39bb3ce7a4940a3db94f7f092929393a712007a95f164738ab6a670daf4c43cb",
   "language": "MATLAB",
   "lines": 118,
   "truncated": false,
   "block": 6,
   "row": 14518
  },
  {
   "path": "step6_subcortical_corr_PET.m",
   "sha256": "5e1d465e9fe88673c6ad53dd30396592846320d12ffbb5e102f4f8169fcd1843",
   "language": "MATLAB",
   "lines": 103,
   "truncated": false,
   "block": 6,
   "row": 12775
  },
  {
   "path": "step7_cotical_T_gene.m",
   "sha256": "0bf01a260d76ea49b9f926c6a4b1d55c9e4ebe00482f6f56bf63df62346660d0",
   "language": "MATLAB",
   "lines": 138,
   "truncated": false,
   "block": 6,
   "row": 15530
  },
  {
   "path": "step8_subcortical_corr_gene.m",
   "sha256": "a740ee80181a5940d1b70e66ab4b8e89fab43b6f3c5b65bc98cec582d9c384f0",
   "language": "MATLAB",
   "lines": 94,
   "truncated": false,
   "block": 6,
   "row": 12307
  }
 ]
}