Skip to main content

Table 4 The performance of different kinds of feature descriptors in non-redundant dataset by random forest method

From: Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences

Features

ACC

SN

SP

AUC

MCC

F1

OAAC

0.849

0.856

0.817

0.900

0.581

0.904

Dipeptide = 0

0.872

0.892

0.780

0.910

0.612

0.921

Dipeptide = 1

0.879

0.900

0.781

0.912

0.625

0.925

Dipeptide = 2

0.870

0.885

0.797

0.908

0.612

0.918

AAindex

0.819

0.844

0.698

0.846

0.475

0.886

PSSM

0.836

0.855

0.744

0.884

0.527

0.896

All features

0.887

0.908

0.788

0.919

0.647

0.930

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us