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Table 1 A list of initial features used for classifier construction in addition to AAIndex features.

From: Prediction of peptides observable by mass spectrometry applied at the experimental set level

Feature Subset 1
Length of peptide
Net charge of peptide
Positive charge
Negative charge
Isoelectric point
Molecular weight
Count of each amino acid (20 features)
Percent composition of each amino acid (20 features)
Percent polar amino acids
Percent positive amino acids
Percent negative amino acids
Percent hydrophobic amino acids
  1. A feature selection procedure is used to reduce dimensionality prior to classifier construction.