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Table 9 Class wise predictions obtained by MP4 on healthy and CRC affected individual's metagenomic data

From: MP4: a machine learning based classification tool for prediction and functional annotation of pathogenic proteins from metagenomic and genomic datasets

Samples

Number of sequences

Percentage of Class 1 predictions

Percentage of Class 2 predictions

Percentage of Class 3 predictions

Pathogenicity index

Healthy sample

9569

29.33

25.47

45.17

0.70

CRC sample

9022

17.85

36.53

45.61

0.82

  1. Where, Class 1: Non-pathogenic Proteins; Class 2: Antibiotic Resistance and Toxic proteins and Class 3: Secretory and capsular proteins