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 12Â kb)
2017-12-28 05:00:00
Endometrial cancer
Somatic mutation
RNA sequencing
Differentially expressed genes
Clinical phenotype characteristics