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Table 3 Comparison with other algorithms

From: Test on existence of histology subtype-specific prognostic signatures among early stage lung adenocarcinoma and squamous cell carcinoma patients using a Cox-model based filter

Algorithm # of genes (AC/SCC) Accuracy AUC p-value
A: Comparison with other algorithms on the microarray data itself
Cox-model filter 32(32/12) 74.56(76.38/69.05) 79.82/79.57 2.74 × 10-13
Coxpath separate 142(108/40) 81.66(83.47/76.19) 90.95/87.85 0
glcoxph separate 11(1/10) 66.27(60.63/83.33) 69.99/91.42 3.91 × 10-2
B: Further validation those signatures on the RNA-seq data
Cox-model filter 30(30/11)1 56.8(52.86/61.82) 52.19/68.14 0.305
Coxpath separate 126(97/32)1 52(50/54.56) 47.29/67.36 0.272
glcoxph separate 9(1/8)1 55.20(51.43/60) 57.21/56.31 6.86 × 10-2
  1. Note: In this comparison, we used 1,889 genes with extra barcode-frequency filtering and their actual expression values. 1There are some genes missing from the resultant signatures since the RNA-seq data is on a different platform from microarray data.
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