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 11Â kb)