Liu, Keqin He, Li Liu, Zhichao Xu, Junmei Liu, Yuan Kuang, Qifan Wen, Zhining Li, Menglong Additional file 10: of Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer Summary of 395 non-SMGs showed different expression patterns in the groups of FIGO stage patients. (XLSX 34 kb) Endometrial cancer;Somatic mutation;RNA sequencing;Differentially expressed genes;Clinical phenotype characteristics 2017-12-28
    https://springernature.figshare.com/articles/dataset/Additional_file_10_of_Mutation_status_coupled_with_RNA-sequencing_data_can_efficiently_identify_important_non-significantly_mutated_genes_serving_as_diagnostic_biomarkers_of_endometrial_cancer/5742960
10.6084/m9.figshare.5742960.v1