10.6084/m9.figshare.5743065.v1 Keqin Liu Keqin Liu Li He Li He Zhichao Liu Zhichao Liu Junmei Xu Junmei Xu Yuan Liu Yuan Liu Qifan Kuang Qifan Kuang Zhining Wen Zhining Wen Menglong Li Menglong Li Additional file 5: of Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer Springer Nature 2017 Endometrial cancer Somatic mutation RNA sequencing Differentially expressed genes Clinical phenotype characteristics 2017-12-28 05:00:00 Dataset https://springernature.figshare.com/articles/dataset/Additional_file_5_of_Mutation_status_coupled_with_RNA-sequencing_data_can_efficiently_identify_important_non-significantly_mutated_genes_serving_as_diagnostic_biomarkers_of_endometrial_cancer/5743065 Summary of the 23 non-SMGs that were identified from 1053 non-SMGs by using VCPA. (XLSX 11 kb)