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Table 7 Best-Predicted Proteins using Random Forest

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

Combined

BRCA

OVA

Protein Name

Count

Protein Name

Count

Protein Name

Count

MAP 1B

6

ERAP2

6

ASRGL1

6

PSIP1

6

GRB7

6

LAP3

6

ACADSB

5

PACSIN2

5

GMPR

5

ANPEP

5

SSH3

5

ICAM1

5

ASRGL1

5

ERBB2

4

MAP 1B

5

CMBL

5

ESR1

4

MSN

5

DDX58

5

IFIT5

4

VCP

5

FAM129A

5

NCAPH

4

WARS

5

HMGCL

5

PPFIA1

4

XPO5

5

OXCT1

5

PRODH

4

ASS1

4

  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 random forests model