Additional file 5 of AMEND 2.0: module identification and multi-omic data integration with multiplex-heterogeneous graphs
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https://springernature.figshare.com/articles/dataset/Additional_file_5_of_AMEND_2_0_module_identification_and_multi-omic_data_integration_with_multiplex-heterogeneous_graphs/28357011/1
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资源简介：
Additional file5: ORA with DO Terms and AMEND Module from TCGA-KIRC Data. Complete list of significant Disease Ontologyterms from ORA on the AMEND module from the TCGA-KIRC data analysis. Significance level was set to 0.01 after adjustment for multiple testing using the Benjamini-Hochberg method
提供机构：
Slawson, Chad; Thompson, Jeffrey A.; Boyd, Samuel S.
创建时间：
2025-02-06
