329 related articles for article (PubMed ID: 38023180)
1. Integrative analysis reveals a four-gene signature for predicting survival and immunotherapy response in colon cancer patients using bulk and single-cell RNA-seq data.
Chai R; Zhao Y; Su Z; Liang W
Front Oncol; 2023; 13():1277084. PubMed ID: 38023180
[TBL] [Abstract][Full Text] [Related]
2. Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model.
Tan Z; Chen X; Zuo J; Fu S; Wang H; Wang J
J Transl Med; 2023 Mar; 21(1):223. PubMed ID: 36973787
[TBL] [Abstract][Full Text] [Related]
3. Identification and validation of a seven-gene prognostic marker in colon cancer based on single-cell transcriptome analysis.
Zhou Y; Guo Y; Wang Y
IET Syst Biol; 2022 Apr; 16(2):72-83. PubMed ID: 35352485
[TBL] [Abstract][Full Text] [Related]
4. Characterization of cancer-related fibroblasts (CAF) in hepatocellular carcinoma and construction of CAF-based risk signature based on single-cell RNA-seq and bulk RNA-seq data.
Yu L; Shen N; Shi Y; Shi X; Fu X; Li S; Zhu B; Yu W; Zhang Y
Front Immunol; 2022; 13():1009789. PubMed ID: 36211448
[TBL] [Abstract][Full Text] [Related]
5. Establishment of an ovarian cancer omentum metastasis-related prognostic model by integrated analysis of scRNA-seq and bulk RNA-seq.
Zhang D; Lu W; Cui S; Mei H; Wu X; Zhuo Z
J Ovarian Res; 2022 Nov; 15(1):123. PubMed ID: 36424614
[TBL] [Abstract][Full Text] [Related]
6. Construction of a New Ferroptosis-related Prognosis Model for Survival Prediction in Colorectal Cancer.
Chen L; Ge M; Mo S; Shi M; Zhang J; Liu J
Curr Med Chem; 2024 Feb; ():. PubMed ID: 38362684
[TBL] [Abstract][Full Text] [Related]
7. Integrative Analysis of Single-Cell and Bulk RNA Sequencing Reveals Prognostic Characteristics of Macrophage Polarization-Related Genes in Lung Adenocarcinoma.
Mi K; Zeng L; Chen Y; Yang S
Int J Gen Med; 2023; 16():5031-5050. PubMed ID: 37942473
[TBL] [Abstract][Full Text] [Related]
8. Integrated single-cell and bulk RNA sequencing analysis identifies a cancer associated fibroblast-related signature for predicting prognosis and therapeutic responses in colorectal cancer.
Zheng H; Liu H; Ge Y; Wang X
Cancer Cell Int; 2021 Oct; 21(1):552. PubMed ID: 34670584
[TBL] [Abstract][Full Text] [Related]
9. A novel signature incorporating lipid metabolism- and immune-related genes to predict the prognosis and immune landscape in hepatocellular carcinoma.
Yang T; Luo Y; Liu J; Liu F; Ma Z; Liu G; Li H; Wen J; Chen C; Zeng X
Front Oncol; 2023; 13():1182434. PubMed ID: 37346073
[TBL] [Abstract][Full Text] [Related]
10. Integrative transcriptional characterization of cell cycle checkpoint genes promotes clinical management and precision medicine in bladder carcinoma.
Shi WW; Guan JZ; Long YP; Song Q; Xiong Q; Qin BY; Ma ZQ; Hu Y; Yang B
Front Oncol; 2022; 12():915662. PubMed ID: 36033441
[TBL] [Abstract][Full Text] [Related]
11. Development and validation a prognostic model based on natural killer T cells marker genes for predicting prognosis and characterizing immune status in glioblastoma through integrated analysis of single-cell and bulk RNA sequencing.
Hu J; Xu L; Fu W; Sun Y; Wang N; Zhang J; Yang C; Zhang X; Zhou Y; Wang R; Zhang H; Mou R; Du X; Li X; Hu S; Xie R
Funct Integr Genomics; 2023 Aug; 23(3):286. PubMed ID: 37650991
[TBL] [Abstract][Full Text] [Related]
12. Single-Cell RNA Sequencing Reveals the Role of Epithelial Cell Marker Genes in Predicting the Prognosis of Colorectal Cancer Patients.
Shen KY; Chen BY; Gao WC
Dis Markers; 2022; 2022():8347125. PubMed ID: 35968507
[TBL] [Abstract][Full Text] [Related]
13. Integration of Single-Cell RNA Sequencing and Bulk RNA Sequencing Data to Establish and Validate a Prognostic Model for Patients With Lung Adenocarcinoma.
Jiang A; Wang J; Liu N; Zheng X; Li Y; Ma Y; Zheng H; Chen X; Fan C; Zhang R; Fu X; Yao Y
Front Genet; 2022; 13():833797. PubMed ID: 35154287
[No Abstract] [Full Text] [Related]
14. Identification and validation of biomarkers for epithelial-mesenchymal transition-related cells to estimate the prognosis and immune microenvironment in primary gastric cancer by the integrated analysis of single-cell and bulk RNA sequencing data.
Shen K; Ke S; Chen B; Zhang T; Wang H; Lv J; Gao W
Math Biosci Eng; 2023 Jun; 20(8):13798-13823. PubMed ID: 37679111
[TBL] [Abstract][Full Text] [Related]
15. Construction of a novel choline metabolism-related signature to predict prognosis, immune landscape, and chemotherapy response in colon adenocarcinoma.
Liu C; Liu D; Wang F; Liu Y; Xie J; Xie J; Xie Y
Front Immunol; 2022; 13():1038927. PubMed ID: 36451813
[TBL] [Abstract][Full Text] [Related]
16. Integration of scRNA-Seq and Bulk RNA-Seq to Analyse the Heterogeneity of Ovarian Cancer Immune Cells and Establish a Molecular Risk Model.
Liang L; Yu J; Li J; Li N; Liu J; Xiu L; Zeng J; Wang T; Wu L
Front Oncol; 2021; 11():711020. PubMed ID: 34621670
[TBL] [Abstract][Full Text] [Related]
17. Integrating single-cell and bulk RNA sequencing data unveils antigen presentation and process-related CAFS and establishes a predictive signature in prostate cancer.
Wang W; Li T; Xie Z; Zhao J; Zhang Y; Ruan Y; Han B
J Transl Med; 2024 Jan; 22(1):57. PubMed ID: 38221616
[TBL] [Abstract][Full Text] [Related]
18. Identification of cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer.
Wang J; Qin D; Tao Z; Wang B; Xie Y; Wang Y; Li B; Cao J; Qiao X; Zhong S; Hu X
Front Immunol; 2022; 13():1056932. PubMed ID: 36479114
[TBL] [Abstract][Full Text] [Related]
19. Construction of a novel mRNA-signature prediction model for prognosis of bladder cancer based on a statistical analysis.
Li J; Cao J; Li P; Yao Z; Deng R; Ying L; Tian J
BMC Cancer; 2021 Jul; 21(1):858. PubMed ID: 34315402
[TBL] [Abstract][Full Text] [Related]
20. Integrated analysis of single-cell and bulk RNA-seq establishes a novel signature for prediction in gastric cancer.
Wen F; Guan X; Qu HX; Jiang XJ
World J Gastrointest Oncol; 2023 Jul; 15(7):1215-1226. PubMed ID: 37546563
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]