Research Article
Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris
Table 3
Estimates of odds ratio of missing proteomic values for dataset 2.
| Dataset 2 | CT0 | CT120 | ST120 | effect | Point estimate |
95% wald confidence limits | Point estimate |
95% wald confidence limits | Point estimate |
95% wald confidence limits |
| log2 of mRNA | 0.407 | 0.370 | 0.448 | 0.451 | 0.412 | 0.494 | 0.499 | 0.459 | 0.542 | Protein instability index/10 | 1.310 | 1.161 | 1.478 | 1.283 | 1.140 | 1.444 | 1.264 | 1.124 | 1.421 | log2 of gene length | 0.261 | 0.216 | 0.315 | 0.287 | 0.240 | 0.345 | 0.294 | 0.247 | 0.352 | Nc/10 | 0.512 | 0.336 | 0.780 | 0.518 | 0.343 | 0.783 | 0.552 | 0.374 | 0.815 | GRAVY*10 | 0.914 | 0.862 | 0.970 | 0.914 | 0.863 | 0.968 | 0.923 | 0.873 | 0.977 | CAI*10 | 0.599 | 0.421 | 0.851 | 0.559 | 0.398 | 0.786 | 0.536 | 0.384 | 0.749 | AA_axis1*10 | 0.686 | 0.627 | 0.750 | 0.681 | 0.624 | 0.744 | 0.686 | 0.629 | 0.749 | AA_axis2*10 | 1.811 | 1.558 | 2.106 | 1.721 | 1.487 | 1.990 | 1.674 | 1.452 | 1.931 | AA_axis4*10 | 0.827 | 0.747 | 0.916 | 0.837 | 0.757 | 0.925 | 0.846 | 0.767 | 0.934 | CR_axis1*10 | 0.771 | 0.647 | 0.919 | 0.780 | 0.657 | 0.925 | 0.781 | 0.660 | 0.923 | CR_axis4*10 | 0.716 | 0.635 | 0.808 | 0.706 | 0.627 | 0.795 | 0.725 | 0.645 | 0.814 |
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