Additional file 4: of Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer Keqin Liu Li He Zhichao Liu Junmei Xu Yuan Liu Qifan Kuang Zhining Wen Menglong Li 10.6084/m9.figshare.5743062.v1 https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Mutation_status_coupled_with_RNA-sequencing_data_can_efficiently_identify_important_non-significantly_mutated_genes_serving_as_diagnostic_biomarkers_of_endometrial_cancer/5743062 The KEGG pathways with significant enrichment of 1053 non-SMGs. (XLSX 12 kb) 2017-12-28 05:00:00 Endometrial cancer Somatic mutation RNA sequencing Differentially expressed genes Clinical phenotype characteristics