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Journal Abstract Search

256 related items for PubMed ID: 37808522

  • 1. Uncovering the immune microenvironment and molecular subtypes of hepatitis B-related liver cirrhosis and developing stable a diagnostic differential model by machine learning and artificial neural networks.
    Zhang S, Jiang C, Jiang L, Chen H, Huang J, Zhang J, Wang R, Chi H, Yang G, Tian G.
    Front Mol Biosci; 2023; 10():1275897. PubMed ID: 37808522
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  • 2. Finding key genes (UBE2T, KIF4A, CDCA3, and CDCA5) co-expressed in hepatitis, cirrhosis and hepatocellular carcinoma based on multiple bioinformatics techniques.
    Zhang Y, Yu W, Zhou S, Xiao J, Zhang X, Yang H, Zhang J.
    BMC Gastroenterol; 2024 Jun 18; 24(1):205. PubMed ID: 38890649
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  • 3. Identification of subclusters and prognostic genes based on GLS-associated molecular signature in ulcerative colitis.
    Xie Y, Li J, Tao Q, Wu Y, Liu Z, Chen Y, Zeng C.
    Sci Rep; 2024 Jun 07; 14(1):13102. PubMed ID: 38849409
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  • 5. Comparison of ischemic stroke diagnosis models based on machine learning.
    Yang WX, Wang FF, Pan YY, Xie JQ, Lu MH, You CG.
    Front Neurol; 2022 Jun 07; 13():1014346. PubMed ID: 36545400
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  • 8. Identification of crucial genes for predicting the risk of atherosclerosis with system lupus erythematosus based on comprehensive bioinformatics analysis and machine learning.
    Liu C, Zhou Y, Zhou Y, Tang X, Tang L, Wang J.
    Comput Biol Med; 2023 Jan 07; 152():106388. PubMed ID: 36470144
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  • 10. Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning.
    Zhang W, Wu Y, Yuan Y, Wang L, Yu B, Li X, Yao Z, Liang B.
    Comput Biol Med; 2024 Dec 07; 183():109239. PubMed ID: 39396400
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  • 15. Immune-Associated Gene Signatures and Subtypes to Predict the Progression of Atherosclerotic Plaques Based on Machine Learning.
    Yang Y, Yi X, Cai Y, Zhang Y, Xu Z.
    Front Pharmacol; 2022 Dec 07; 13():865624. PubMed ID: 35559253
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  • 17. Identification of ion channel-related genes as diagnostic markers and potential therapeutic targets for osteoarthritis through bioinformatics and machine learning-based approaches.
    Yongming L, Yizhe X, Zhikai Q, Yupeng W, Xiang W, Mengyuan Y, Guoqing D, Hongsheng Z.
    Biomarkers; 2024 Jul 07; 29(5):285-297. PubMed ID: 38767974
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  • 18. Machine learning-based characterization of cuprotosis-related biomarkers and immune infiltration in Parkinson's disease.
    Zhao S, Zhang L, Ji W, Shi Y, Lai G, Chi H, Huang W, Cheng C.
    Front Genet; 2022 Jul 07; 13():1010361. PubMed ID: 36338988
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  • 19. Construction and verification of an endoplasmic reticulum stress-related prognostic model for endometrial cancer based on WGCNA and machine learning algorithms.
    Lin S, Wei C, Wei Y, Fan J.
    Front Oncol; 2024 Jul 07; 14():1362891. PubMed ID: 38725627
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  • 20. Machine learning and bioinformatics analysis to identify autophagy-related biomarkers in peripheral blood for rheumatoid arthritis.
    Dong G, Gao H, Chen Y, Yang H.
    Front Genet; 2023 Jul 07; 14():1238407. PubMed ID: 37779906
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