Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris
Table 1
Model validation: correlated expressions of proteins in selective operons.
Dataset 1
Dataset 2
FL
LL
LS
CT0
CT120
ST120
Operon
CV
PCV
CV
PCV
CV
PCV
CV
PCV
CV
PCV
CV
PCV
1
0.36
0.707
0.6
0.797
0.301
0.901
1.63*
1.248
0.814
1.186
1.269
1.286
2
1.6*
0.638
1.564*
0.725
1.48*
0.631
0.773
1.102
0.968
1.044
0.702
1.129
3
0.499
0.659
1.04*
0.766
0.563
0.866
1.295*
1.134
1.568*
1.106
1.324*
1.169
4
0.216
0.648
0.239
0.726
0.323
0.813
0.333
1.106
0.401
1.05
0.453
1.135
5
0.418
0.646
0.559
0.731
0.45
0.794
0.481
1.105
0.398
1.05
0.466
1.122
6
0.18
0.647
0.454
0.745
0.353
0.809
0.495
1.116
0.403
1.042
0.473
1.124
7
0.297
0.651
0.162
0.729
0.312
0.8
0.408
1.101
0.343
1.042
0.69
1.118
8
0.307
0.693
0.292
0.772
0.28
0.908
0.767
1.204
0.502
1.147
0.57
1.236
9
0.389
0.676
0.352
0.764
0.851
0.86
0.884
1.171
0.631
1.098
0.558
1.197
10
0.621
0.624
0.445
0.765
0.74
0.859
0.889
1.166
0.67
1.096
1.087
1.19
11
0.304
0.595
0.231
0.704
0.3
0.773
0.78
1.153
0.816
1.082
0.567
1.182
12
0.599
0.808
0.831
0.908
0.729
1.076
1.201
1.535
1.174
1.366
1.563*
1.528
13
0.353
0.646
0.435
0.723
0.531
0.826
0.366
1.118
0.532
1.06
0.369
1.124
14
0.359
0.665
0.407
0.73
0.267
0.752
0.653
1.157
0.825
1.087
0.597
1.18
15
0.381
0.717
0.707
0.801
0.78
0.922
0.691
1.246
0.838
1.166
0.674
1.293
16
0.299
0.749
0.538
0.833
0.307
0.989
0.613
1.342
0.456
1.252
1.059
1.372
17
0.321
0.649
0.219
0.726
0.222
0.806
0.657
1.059
0.492
0.943
0.529
1.046
18
0.473
0.645
0.486
0.723
0.628
0.767
0.474
1.164
0.539
1.091
0.578
1.185
19
0.592
0.741
0.479
0.824
0.631
0.982
1.68*
1.317
1.094
1.248
1.403*
1.342
20
0.767*
0.621
0.586
0.695
0.561
0.752
0.267
1.037
0.288
0.964
0.492
1.053
21
0.389
0.548
0.416
0.693
0.472
0.757
1.034
1.037
0.813
0.978
0.823
1.061
22
0.256
0.654
0.433
0.721
0.49
0.8
0.532
1.095
0.602
1.053
0.569
1.123
23
0.631
0.694
0.707
0.775
0.632
0.877
0.86
1.196
0.677
1.125
0.925
1.242
24
0.376
0.655
0.648
0.655
0.406
0.699
1.23*
1.099
0.927
1.031
1.138*
1.123
25
0.869*
0.674
1*
0.754
1.194*
0.85
2.337*
1.156
2.119*
1.094
2.303*
1.185
26
0.657*
0.618
0.683
0.736
0.747
0.856
0.696
1.151
0.52
1.114
0.7
1.176
27
0.378
0.85
0.452
0.938
0.432
1.104
0.588
1.631
0.667
1.445
0.771
1.629
28
1.013*
0.67
0.963*
0.764
1.526*
0.913
1.255
1.259
1.375*
1.181
1.332*
1.282
CV is computed by dividing SD by the mean of the prediction values for protein abundance for a specific set of genes (group). The protein prediction values were normalized by molecular weight before CV calculation. PCV is the mean of CV values computed through permutation test for selected operons.
*CV values greater than PCV.
