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Table 3 Best-Predicted Proteins using Bayesian Networks

From: Challenges in proteogenomics: a comparison of analysis methods with the case study of the DREAM proteogenomics sub-challenge

CombinedBRCAOVA
Protein NameCountProtein NameCountProtein NameCount
CMBL9BCAN9CBX29
WFDC28MAEL9GFOD29
SERPINB38MAGEC19GP1BA9
NUCB28TESC9SERPINB38
MAGEA98WIPF39SLC35B18
FDXR8CD1A8CRADD7
SFX27HLA-DQB28CYP11A17
RABEP17AKR1B157MINDY27
MYH147CST47MMP107
ALCAM7CYP4F227CALB16
  1. The list of proteins whose predictions are most frequently found to have one of the top 100 correlation values to ground truth across 10 cross-validations. These predictions are generated using the Bayesian network model