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Table 1 Analysis results from I-Boost-Permutation for the TCGA LUAD data set

From: I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms

Predictor

Estimate

Module_UNC_MPYMT_NEU_Cluster_Median_BMC.Med.Genomics.2011_PMID.21214954*

− 0.2587

Mutation_HMCN1*

− 0.0498

Mutation_FAT3*

− 0.0363

Clinical_gender_female_0

− 0.0082

miRNA_hsa-miR-181c-5p*

− 0.0040

Mutation_AHNAK2*

− 0.0031

Mutation_LAMA2*

− 0.0001

CNV_BeroukhimS2.19p12-66*

0.0217

Module_UNC_Glycolysis_Signature_Median_BMC.Med.2009_PMID.19291283*

0.0368

Module_IMMUNE_Bindea_Cell_Th2 cells_Median_Immunity.2013_PMID.24138885*

0.0547

miRNA_hsa-miR-582-3p*

0.1438

Clinical_age*

0.1586

Clinical_pathologic_N*

0.4700

  1. Note: “Estimate” is the estimate of the log hazard ratio under the Cox proportional hazards model, where a positive value represents an increase of the hazard. The predictors are standardized to have unit standard deviation. Gender is coded as female =0 and male =1; pathologic stage T is dichotomized into T1 (0) and T2–T4 (1); pathologic stage N is dichotomized into N0 (0) and N1–N3 (1). Predictors that are also selected by LASSO, elastic net, and I-Boost-CV are marked with an asterisk (*)