155 related articles for article (PubMed ID: 38457593)
1. Machine learning-based cell death signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma.
Li F; Feng Q; Tao R
Medicine (Baltimore); 2024 Mar; 103(10):e37314. PubMed ID: 38457593
[TBL] [Abstract][Full Text] [Related]
2. A degradome-related signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma based on machine learning procedure.
Deng Z; Feng Q; Zhao D; Huang Z
Medicine (Baltimore); 2024 Apr; 103(15):e37728. PubMed ID: 38608069
[TBL] [Abstract][Full Text] [Related]
3. Machine learning developed an intratumor heterogeneity signature for predicting prognosis and immunotherapy benefits in skin cutaneous melanoma.
Zhang W; Wang S
Melanoma Res; 2024 Jun; 34(3):215-224. PubMed ID: 38364052
[TBL] [Abstract][Full Text] [Related]
4. Machine learning developed a PI3K/Akt pathway-related signature for predicting prognosis and drug sensitivity in ovarian cancer.
Han X; Yang L; Tian H; Ji Y
Aging (Albany NY); 2023 Oct; 15(20):11162-11183. PubMed ID: 37851341
[TBL] [Abstract][Full Text] [Related]
5. Machine learning developed a programmed cell death signature for predicting prognosis and immunotherapy benefits in lung adenocarcinoma.
Ding D; Wang L; Zhang Y; Shi K; Shen Y
Transl Oncol; 2023 Dec; 38():101784. PubMed ID: 37722290
[TBL] [Abstract][Full Text] [Related]
6. An immunogenic cell death-related signature predicts prognosis and immunotherapy response in stomach adenocarcinoma.
Liu Z; Sun L; Peng X; Liu S; Zhu Z; Huang C
Apoptosis; 2023 Dec; 28(11-12):1564-1583. PubMed ID: 37580435
[TBL] [Abstract][Full Text] [Related]
7. Machine learning developed a fibroblast-related signature for predicting clinical outcome and drug sensitivity in ovarian cancer.
Fu W; Feng Q; Tao R
Medicine (Baltimore); 2024 Apr; 103(16):e37783. PubMed ID: 38640321
[TBL] [Abstract][Full Text] [Related]
8. Machine learning developed a CD8
Chen R; Zheng Y; Fei C; Ye J; Fei H
Sci Rep; 2024 Mar; 14(1):5794. PubMed ID: 38461331
[TBL] [Abstract][Full Text] [Related]
9. Machine Learning-Based Integration Develops a Macrophage-Related Index for Predicting Prognosis and Immunotherapy Response in Lung Adenocarcinoma.
Li Z; Guo M; Lin W; Huang P
Arch Med Res; 2023 Nov; 54(7):102897. PubMed ID: 37865004
[TBL] [Abstract][Full Text] [Related]
10. Identification of three immune subtypes characterized by distinct tumor immune microenvironment and therapeutic response in stomach adenocarcinoma.
Zhu Y; Zhao Y; Cao Z; Chen Z; Pan W
Gene; 2022 Apr; 818():146177. PubMed ID: 35065254
[TBL] [Abstract][Full Text] [Related]
11. Development of a novel copper metabolism-related risk model to predict prognosis and tumor microenvironment of patients with stomach adenocarcinoma.
Sun D; Zhang H; Zhang C
Front Pharmacol; 2023; 14():1185418. PubMed ID: 37284310
[No Abstract] [Full Text] [Related]
12. Single-cell data revealed CD14-type and FCGR3A-type macrophages and relevant prognostic factors for predicting immunotherapy and prognosis in stomach adenocarcinoma.
Li M; Lu M; Li J; Gui Q; Xia Y; Lu C; Shu H
PeerJ; 2024; 12():e16776. PubMed ID: 38274323
[TBL] [Abstract][Full Text] [Related]
13. Construction of mRNA prognosis signature associated with differentially expressed genes in early stage of stomach adenocarcinomas based on TCGA and GEO datasets.
Jiang F; Lin H; Yan H; Sun X; Yang J; Dong M
Eur J Med Res; 2022 Oct; 27(1):205. PubMed ID: 36253873
[TBL] [Abstract][Full Text] [Related]
14. A macrophage related signature for predicting prognosis and drug sensitivity in ovarian cancer based on integrative machine learning.
Zhao B; Pei L
BMC Med Genomics; 2023 Oct; 16(1):230. PubMed ID: 37784081
[TBL] [Abstract][Full Text] [Related]
15. A novel endoplasmic reticulum stress-related lncRNA signature for prognosis prediction and immune response evaluation in Stomach adenocarcinoma.
Song Z; Su M; Li X; Xie J; Han F; Yao J
BMC Gastroenterol; 2023 Dec; 23(1):432. PubMed ID: 38066437
[TBL] [Abstract][Full Text] [Related]
16. Angiogenesis-related lncRNAs predict the prognosis signature of stomach adenocarcinoma.
Han C; Zhang C; Wang H; Li K; Zhao L
BMC Cancer; 2021 Dec; 21(1):1312. PubMed ID: 34876056
[TBL] [Abstract][Full Text] [Related]
17. A 9‑gene expression signature to predict stage development in resectable stomach adenocarcinoma.
Liu Z; Liu H; Wang Y; Li Z
BMC Gastroenterol; 2022 Oct; 22(1):435. PubMed ID: 36241983
[TBL] [Abstract][Full Text] [Related]
18. The Value of m5C-Related lncRNAs in the Prognostic Assessment and Immunotherapy of Stomach Adenocarcinoma.
He C; Zhu X; Kong F; Zhang X; Chai X; Zou C; Zhao D
Biomed Res Int; 2022; 2022():2747799. PubMed ID: 35711526
[TBL] [Abstract][Full Text] [Related]
19. Machine Learning Developed a Programmed Cell Death Signature for Predicting Prognosis, Ecosystem, and Drug Sensitivity in Ovarian Cancer.
Wang L; Chen X; Song L; Zou H
Anal Cell Pathol (Amst); 2023; 2023():7365503. PubMed ID: 37868825
[TBL] [Abstract][Full Text] [Related]
20. Transcriptomic characterization and construction of M2 macrophage-related prognostic and immunotherapeutic signature in ovarian metastasis of gastric cancer.
Gao J; Zhao Z; Zhang H; Huang S; Xu M; Pan H
Cancer Immunol Immunother; 2023 May; 72(5):1121-1138. PubMed ID: 36336725
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]