205 related articles for article (PubMed ID: 37507655)
21. Identification of m
Ma C; Tu D; Xu Q; Wu Y; Song X; Guo Z; Zhao X
Clin Epigenetics; 2023 Feb; 15(1):22. PubMed ID: 36782329
[TBL] [Abstract][Full Text] [Related]
22. Identification of Hub Diagnostic Biomarkers and Candidate Therapeutic Drugs in Heart Failure.
Guo Y; Ning B; Zhang Q; Ma J; Zhao L; Lu Q; Zhang D
Int J Gen Med; 2022; 15():623-635. PubMed ID: 35058712
[TBL] [Abstract][Full Text] [Related]
23. [An artificial neural network diagnostic model for scleroderma and immune cell infiltration analysis based on mitochondria-associated genes].
Zuo Z; Meng Q; Cui J; Guo K; Bian H
Nan Fang Yi Ke Da Xue Xue Bao; 2024 May; 44(5):920-929. PubMed ID: 38862450
[TBL] [Abstract][Full Text] [Related]
24. Identification of Potential Gene Interactions in Heart Failure Caused by Idiopathic Dilated Cardiomyopathy.
Huang H; Luo B; Wang B; Wu Q; Liang Y; He Y
Med Sci Monit; 2018 Oct; 24():7697-7709. PubMed ID: 30368515
[TBL] [Abstract][Full Text] [Related]
25. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis.
Reyimu A; Chen Y; Song X; Zhou W; Dai J; Jiang F
World J Surg Oncol; 2021 Aug; 19(1):240. PubMed ID: 34384424
[TBL] [Abstract][Full Text] [Related]
26. Identifying key genes related to inflammasome in severe COVID-19 patients based on a joint model with random forest and artificial neural network.
Ou H; Fan Y; Guo X; Lao Z; Zhu M; Li G; Zhao L
Front Cell Infect Microbiol; 2023; 13():1139998. PubMed ID: 37113134
[TBL] [Abstract][Full Text] [Related]
27. Uncovering the molecular mechanisms between heart failure and end-stage renal disease
Bian R; Xu X; Li W
Front Genet; 2022; 13():1037520. PubMed ID: 36704339
[No Abstract] [Full Text] [Related]
28. Identification of Feature Genes of a Novel Neural Network Model for Bladder Cancer.
Zhang Y; Hua S; Jiang Q; Xie Z; Wu L; Wang X; Shi F; Dong S; Jiang J
Front Genet; 2022; 13():912171. PubMed ID: 35719407
[No Abstract] [Full Text] [Related]
29. Identification of Biomarkers Associated with Heart Failure Caused by Idiopathic Dilated Cardiomyopathy Using WGCNA and Machine Learning Algorithms.
Sun M; Li L
Int J Genomics; 2023; 2023():2250772. PubMed ID: 37143707
[TBL] [Abstract][Full Text] [Related]
30. Identification of hub biomarkers of myocardial infarction by single-cell sequencing, bioinformatics, and machine learning.
Zhang Q; Guo Y; Zhang B; Liu H; Peng Y; Wang D; Zhang D
Front Cardiovasc Med; 2022; 9():939972. PubMed ID: 35958412
[TBL] [Abstract][Full Text] [Related]
31. Gene expression analysis in endometriosis: Immunopathology insights, transcription factors and therapeutic targets.
Geng R; Huang X; Li L; Guo X; Wang Q; Zheng Y; Guo X
Front Immunol; 2022; 13():1037504. PubMed ID: 36532015
[TBL] [Abstract][Full Text] [Related]
32. [Exploration of omics mechanism and drug prediction of coronavirus-induced heart failure based on clinical bioinformatics].
Chen XM; Cao F; Zhang HM; Chen HR; Zhang JD; Zhi P; Li ZY; Wang YX; Lu XC
Zhonghua Xin Xue Guan Bing Za Zhi; 2020 Jul; 48(7):587-592. PubMed ID: 32228827
[No Abstract] [Full Text] [Related]
33. A Cholangiocarcinoma Prediction Model Based on Random Forest and Artificial Neural Network Algorithm.
Liao J; Meng C; Liu B; Zheng M; Qin J
J Coll Physicians Surg Pak; 2023 May; 33(5):578-586. PubMed ID: 37190696
[TBL] [Abstract][Full Text] [Related]
34. Integrative analysis of bioinformatics and machine learning to identify cuprotosis-related biomarkers and immunological characteristics in heart failure.
Tu D; Xu Q; Luan Y; Sun J; Zuo X; Ma C
Front Cardiovasc Med; 2024; 11():1349363. PubMed ID: 38562184
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Exploring key genes associated with neutrophil function and neutrophil extracellular traps in heart failure: a comprehensive analysis of single-cell and bulk sequencing data.
Li X; Xu C; Li Q; Shen Q; Zeng L
Front Cell Dev Biol; 2023; 11():1258959. PubMed ID: 37941896
[No Abstract] [Full Text] [Related]
37. The Identification of Key Genes and Biological Pathways in Heart Failure by Integrated Bioinformatics Analysis.
Yang Q; Bai X; Li X; Hu W
Comput Math Methods Med; 2021; 2021():3859338. PubMed ID: 34868339
[TBL] [Abstract][Full Text] [Related]
38. Construction and analysis of heart failure diagnosis model based on random forest and artificial neural network.
Boyang C; Yuexing L; Yiping Y; Haiyang Y; Xufei Z; Liancheng G; Yunzhi C
Medicine (Baltimore); 2022 Oct; 101(41):e31097. PubMed ID: 36254001
[TBL] [Abstract][Full Text] [Related]
39. Identification of hub genes and transcription factor regulatory network for heart failure using RNA-seq data and robust rank aggregation analysis.
Tu D; Ma C; Zeng Z; Xu Q; Guo Z; Song X; Zhao X
Front Cardiovasc Med; 2022; 9():916429. PubMed ID: 36386304
[TBL] [Abstract][Full Text] [Related]
40. Identification of nondiabetic heart failure-associated genes by bioinformatics approaches in patients with dilated ischemic cardiomyopathy.
Yu A; Zhang J; Liu H; Liu B; Meng L
Exp Ther Med; 2016 Jun; 11(6):2602-2608. PubMed ID: 27284354
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]