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Table 1 Mean AUC scores of 50 times internal and external validation experiments.

From: SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images

 

SurvConvMixer

SurvConvMixer Conv1D

KNN

SVM

Random Forest

Logistic Regression

Neural Network

GeneExpImgTL

PathCNN

LUAD-Short-Term

IV

0.6882±0.03

0.6697 ± 0.03

0.5718 ± 0.09

0.5188 ± 0.10

0.5589 ± 0.08

0.5139 ± 0.10

0.4977 ± 0.12

0.6162 ± 0.09

0.6364 ± 0.03

EV

0.6228 ± 0.08

0.5570 ± 0.10

0.4899 ± 0.15

0.4709 ± 0.08

0.5415 ± 0.10

0.4982 ± 0.07

0.5379 ± 0.11

0.5109 ± 0.11

0.4519 ± 0.10

LUAD-Mid-Term

IV

0.6897 ± 0.03

0.6670 ± 0.02

0.5167 ± 0.07

0.5426 ± 0.09

0.5603 ± 0.09

0.5223 ± 0.08

0.5371 ± 0.09

0.5779 ± 0.12

0.6618 ± 0.03

EV

0.6291 ± 0.05

0.5987 ± 0.04

0.5564 ± 0.03

0.5240 ± 0.04

0.5034 ± 0.06

0.5046 ± 0.04

0.5291 ± 0.05

0.5322 ± 0.08

0.5249 ± 0.03

LUAD-Long-Term

IV

0.7095 ± 0.02

0.7185 ± 0.03

0.5282 ± 0.12

0.6209 ± 0.12

0.6163 ± 0.11

0.6623 ± 0.13

0.6705 ± 0.13

0.5536 ± 0.09

0.6826 ± 0.02

EV

0.6272 ± 0.05

0.5224 ± 0.06

0.5812 ± 0.04

0.5659 ± 0.04

0.5229 ± 0.07

0.5390 ± 0.04

0.5140 ± 0.06

0.5115 ± 0.13

0.5510 ± 0.05

LUSC-Mid-Term

IV

0.5751 ± 0.07

0.6099 ± 0.08

0.5147 ± 0.08

0.5669 ± 0.08

0.6008 ± 0.07

0.5346 ± 0.08

0.5622 ± 0.08

0.5429 ± 0.11

0.6612 ± 0.08

EV

0.5597 ± 0.06

0.5350 ± 0.06

0.4843 ± 0.04

0.4971 ± 0.04

0.4619 ± 0.07

0.5180 ± 0.04

0.4965 ± 0.05

0.4885 ± 0.06

0.5673 ± 0.08

LUSC-Long-Term

IV

0.6081 ± 0.09

0.6327 ± 0.09

0.5114 ± 0.09

0.5842 ± 0.10

0.4963 ± 0.10

0.5621 ± 0.10

0.5460 ± 0.11

0.5403 ± 0.09

0.6143 ± 0.09

EV

0.5893 ± 0.06

0.5401 ± 0.05

0.5734 ± 0.05

0.5653 ± 0.03

0.5115 ± 0.06

0.4970 ± 0.04

0.5068 ± 0.05

0.5006 ± 0.03

0.4760 ± 0.07

SKCM-Short-Term

IV

0.5933 ± 0.13

0.5537 ± 0.14

0.5659 ± 0.12

0.5917 ± 0.15

0.5665 ± 0.15

0.5722 ± 0.13

0.5716 ± 0.14

0.5335 ± 0.11

0.6430 ± 0.12

EV

0.5628 ± 0.08

0.5548 ± 0.09

0.4320 ± 0.07

0.4047 ± 0.04

0.5076 ± 0.08

0.4941 ± 0.06

0.5167 ± 0.07

0.4966 ± 0.05

0.4885 ± 0.10

SKCM-Mid-Term

IV

0.6515 ± 0.08

0.6184 ± 0.06

0.5875 ± 0.06

0.6127 ± 0.06

0.6682 ± 0.06

0.5952 ± 0.06

0.5951 ± 0.06

0.6137 ± 0.05

0.6912 ± 0.05

EV

0.6409 ± 0.11

0.5726 ± 0.14

0.3266 ± 0.09

0.4141 ± 0.06

0.5240 ± 0.12

0.5166 ± 0.07

0.4197 ± 0.08

0.4073 ± 0.04

0.6087 ± 0.07

  1. The bolded value indicates that this value is the best performance among all the models
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BMC Bioinformatics

ISSN: 1471-2105

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