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Table 2 Assessing MUMAL2 according to the known proteins of datset M123

From: MUMAL2: Improving sensitivity in shotgun proteomics using cost sensitive artificial neural networks and a threshold selector algorithm

  

Predicted class

  

0

1

Actual class

0

8904

12

 

1

13

1047

  1. A confusion matrix is shown, where positive and negative instances are not target and decoys anymore. Instead, an instance is considered positive if its peptide sequence came from the list of known proteins. Otherwise, the instance is considered negative
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BMC Bioinformatics

ISSN: 1471-2105

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