186 related articles for article (PubMed ID: 36157238)
1. Identification of the Diagnostic Biomarker VIPR1 in Hepatocellular Carcinoma Based on Machine Learning Algorithm.
Ge S; Xu CR; Li YM; Zhang YL; Li N; Wang FT; Ding L; Niu J
J Oncol; 2022; 2022():2469592. PubMed ID: 36157238
[TBL] [Abstract][Full Text] [Related]
2. Machine learning and experiments identifies SPINK1 as a candidate diagnostic and prognostic biomarker for hepatocellular carcinoma.
Yi S; Zhang C; Li M; Qu T; Wang J
Discov Oncol; 2023 Dec; 14(1):231. PubMed ID: 38093163
[TBL] [Abstract][Full Text] [Related]
3. Identification and Validation of a Novel Immune Infiltration-Based Diagnostic Score for Early Detection of Hepatocellular Carcinoma by Machine-Learning Strategies.
Guo X; Xiong H; Dong S; Wei X
Gastroenterol Res Pract; 2022; 2022():5403423. PubMed ID: 35747248
[TBL] [Abstract][Full Text] [Related]
4. lncRNA-AC079061.1/VIPR1 axis may suppress the development of hepatocellular carcinoma: a bioinformatics analysis and experimental validation.
Lin XH; Zhang DY; Liu ZY; Tang WQ; Chen RX; Li DP; Weng S; Dong L
J Transl Med; 2022 Aug; 20(1):379. PubMed ID: 36038907
[TBL] [Abstract][Full Text] [Related]
5. Construction of immune-related molecular diagnostic and predictive models of hepatocellular carcinoma based on machine learning.
Zheng H; Han X; Liu Q; Zhou L; Zhu Y; Wang J; Hu W; Zhu F; Liu R
Heliyon; 2024 Jan; 10(2):e24854. PubMed ID: 38312556
[TBL] [Abstract][Full Text] [Related]
6. Identification of Dopachrome Tautomerase (DCT) and Kinesin Family Member 1A (KIF1A) as Related Biomarkers and Immune Infiltration Characteristics of Vitiligo Based on Lasso-SVM Algorithms.
Zhao Y; Ge K; Zhang R
Clin Cosmet Investig Dermatol; 2023; 16():3509-3520. PubMed ID: 38084289
[TBL] [Abstract][Full Text] [Related]
7. Identification of the mitophagy-related diagnostic biomarkers in hepatocellular carcinoma based on machine learning algorithm and construction of prognostic model.
Tu DY; Cao J; Zhou J; Su BB; Wang SY; Jiang GQ; Jin SJ; Zhang C; Peng R; Bai DS
Front Oncol; 2023; 13():1132559. PubMed ID: 36937391
[TBL] [Abstract][Full Text] [Related]
8. DPP6 and MFAP5 are associated with immune infiltration as diagnostic biomarkers in distinguishing uterine leiomyosarcoma from leiomyoma.
Ke Y; You L; Xu Y; Wu D; Lin Q; Wu Z
Front Oncol; 2022; 12():1084192. PubMed ID: 36531033
[TBL] [Abstract][Full Text] [Related]
9. Identification of effective diagnostic biomarker and immune cell infiltration characteristics in acute liver failure by integrating bioinformatics analysis and machine-learning strategies.
Yuan M; Yao L; Hu X; Jiang Y; Li L
Front Genet; 2022; 13():1004912. PubMed ID: 36246593
[No Abstract] [Full Text] [Related]
10. Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillation.
Wu LD; Li F; Chen JY; Zhang J; Qian LL; Wang RX
BMC Med Genomics; 2022 Mar; 15(1):64. PubMed ID: 35305619
[TBL] [Abstract][Full Text] [Related]
11. High expression of PDZ-binding kinase is correlated with poor prognosis and immune infiltrates in hepatocellular carcinoma.
Mu W; Xie Y; Li J; Yan R; Zhang J; Liu Y; Fan Y
World J Surg Oncol; 2022 Jan; 20(1):22. PubMed ID: 35065633
[TBL] [Abstract][Full Text] [Related]
12. Identification of Potential Biomarkers and Immune Infiltration Characteristics in Ulcerative Colitis by Combining Results from Two Machine Learning Algorithms.
Bu M; Cao X; Zhou B
Comput Math Methods Med; 2022; 2022():5412627. PubMed ID: 35959356
[TBL] [Abstract][Full Text] [Related]
13. Identification of the diagnostic genes and immune cell infiltration characteristics of gastric cancer using bioinformatics analysis and machine learning.
Xie R; Liu L; Lu X; He C; Li G
Front Genet; 2022; 13():1067524. PubMed ID: 36685898
[No Abstract] [Full Text] [Related]
14. Machine-Learning Algorithm-Based Prediction of Diagnostic Gene Biomarkers Related to Immune Infiltration in Patients With Chronic Obstructive Pulmonary Disease.
Zhang Y; Xia R; Lv M; Li Z; Jin L; Chen X; Han Y; Shi C; Jiang Y; Jin S
Front Immunol; 2022; 13():740513. PubMed ID: 35350787
[TBL] [Abstract][Full Text] [Related]
15. Identification and Validation of the Diagnostic Characteristic Genes of Ovarian Cancer by Bioinformatics and Machine Learning.
Liu J; Liu L; Antwi PA; Luo Y; Liang F
Front Genet; 2022; 13():858466. PubMed ID: 35719392
[No Abstract] [Full Text] [Related]
16. Identification of DTL as Related Biomarker and Immune Infiltration Characteristics of Nasopharyngeal Carcinoma via Comprehensive Strategies.
Wang H; Zhang J
Int J Gen Med; 2022; 15():2329-2345. PubMed ID: 35264872
[TBL] [Abstract][Full Text] [Related]
17. Exonuclease 1 is a Potential Diagnostic and Prognostic Biomarker in Hepatocellular Carcinoma.
Ma J; Jin J; Lu H; Zhang J; Li Y; Cai X
Front Mol Biosci; 2022; 9():889414. PubMed ID: 35769911
[No Abstract] [Full Text] [Related]
18. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
19. Centromere protein N may be a novel malignant prognostic biomarker for hepatocellular carcinoma.
Wang Q; Yu X; Zheng Z; Chen F; Yang N; Zhou Y
PeerJ; 2021; 9():e11342. PubMed ID: 33987018
[TBL] [Abstract][Full Text] [Related]
20. Machine learning to identify immune-related biomarkers of rheumatoid arthritis based on WGCNA network.
Chen Y; Liao R; Yao Y; Wang Q; Fu L
Clin Rheumatol; 2022 Apr; 41(4):1057-1068. PubMed ID: 34767108
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
