Classification of lung adenocarcinoma based on stemness scores in bulk and single cell transcriptomes.

Liu, Qian; Lei, Jiali; Zhang, Xiaobo; Wang, Xiaosheng

Liu, Qian; Lei, Jiali; Zhang, Xiaobo; Wang, Xiaosheng.

Afiliação

Liu Q; Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Lei J; Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Zhang X; Big Data Research Institute, China Pharmaceutical University, Nanjing 211198, China.
Wang X; Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China.

Comput Struct Biotechnol J ; 20: 1691-1701, 2022.

Article em En | MEDLINE | ID: mdl-35495113

Palavras-chave

Clustering analysis; DFS, disease free survival; EMT, epithelial-mesenchymal transition; FDR, false discovery rate; GO, gene ontology; HLA, human leukocyte antigen; HRD, homologous recombination deficiency; Immunotherapy and targeted therapy; KW, KruskalWallis; Lung adenocarcinoma; OS, overall survival; RF, Random Forest; SCNAs, somatic copy number alterations; Subtyping; TCGA, The Cancer Genome Atlas; TMB, tumor mutation burden; Transcriptome; Tumor stemness; ssGSEA, single-sample gene-set enrichment analysis

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article