Skip to main content

Table 6 Performance comparison of StackTTCA and the state-of-the-art methods on the independent test dataset

From: StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens

Method

#Feature

ACC

Sn

SP

MCC

iTTCA-Hybrid

224

0.498

0.958

0.042

− 0.001

TAP1.0

10

0.738

0.676

0.786

0.483

iTTCA-RF

341

0.540

0.975

0.109

0.167

PSRTTCA

7

0.827

0.822

0.832

0.654

StackTTCA

10

0.932

0.958

0.908

0.866

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us