BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

241 related articles for article (PubMed ID: 38069266)

  • 21. Metabolism-related gene vaccines and immune infiltration in ovarian cancer: A novel risk score model of machine learning.
    Fu Y; Huang Z; Huang J; Xiong J; Liu H; Wan X
    J Gene Med; 2024 Jan; 26(1):e3568. PubMed ID: 37455244
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Integrative Analysis From Multicenter Studies Identifies a WGCNA-Derived Cancer-Associated Fibroblast Signature for Ovarian Cancer.
    Feng S; Xu Y; Dai Z; Yin H; Zhang K; Shen Y
    Front Immunol; 2022; 13():951582. PubMed ID: 35874760
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Identification of endoplasmic reticulum stress-associated genes and subtypes for prediction of Alzheimer's disease based on interpretable machine learning.
    Lai Y; Lin X; Lin C; Lin X; Chen Z; Zhang L
    Front Pharmacol; 2022; 13():975774. PubMed ID: 36059957
    [No Abstract]   [Full Text] [Related]  

  • 24. Prediction of the development of acute kidney injury following cardiac surgery by machine learning.
    Tseng PY; Chen YT; Wang CH; Chiu KM; Peng YS; Hsu SP; Chen KL; Yang CY; Lee OK
    Crit Care; 2020 Jul; 24(1):478. PubMed ID: 32736589
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Ovarian cancer subtypes based on the regulatory genes of RNA modifications: Novel prediction model of prognosis.
    Zheng P; Li N; Zhan X
    Front Endocrinol (Lausanne); 2022; 13():972341. PubMed ID: 36545327
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Explainable machine learning model for predicting skeletal muscle loss during surgery and adjuvant chemotherapy in ovarian cancer.
    Hsu WH; Ko AT; Weng CS; Chang CL; Jan YT; Lin JB; Chien HJ; Lin WC; Sun FJ; Wu KP; Lee J
    J Cachexia Sarcopenia Muscle; 2023 Oct; 14(5):2044-2053. PubMed ID: 37435785
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Robust biomarker screening from gene expression data by stable machine learning-recursive feature elimination methods.
    Li L; Ching WK; Liu ZP
    Comput Biol Chem; 2022 Oct; 100():107747. PubMed ID: 35932551
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Identification of immune microenvironment subtypes and signature genes for Alzheimer's disease diagnosis and risk prediction based on explainable machine learning.
    Lai Y; Lin P; Lin F; Chen M; Lin C; Lin X; Wu L; Zheng M; Chen J
    Front Immunol; 2022; 13():1046410. PubMed ID: 36569892
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A nine-gene signature related to tumor microenvironment predicts overall survival with ovarian cancer.
    Ding Q; Dong S; Wang R; Zhang K; Wang H; Zhou X; Wang J; Wong K; Long Y; Zhu S; Wang W; Ren H; Zeng Y
    Aging (Albany NY); 2020 Mar; 12(6):4879-4895. PubMed ID: 32208363
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Novel immune-related gene signature for risk stratification and prognosis prediction in ovarian cancer.
    Fei H; Han X; Wang Y; Li S
    J Ovarian Res; 2023 Oct; 16(1):205. PubMed ID: 37858138
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn and SHAP.
    Zhang G; Shi Y; Yin P; Liu F; Fang Y; Li X; Zhang Q; Zhang Z
    Front Oncol; 2022; 12():944569. PubMed ID: 35957890
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Deciphering the endometrial immune landscape of RIF during the window of implantation from cellular senescence by integrated bioinformatics analysis and machine learning.
    Zhao X; Zhao Y; Jiang Y; Zhang Q
    Front Immunol; 2022; 13():952708. PubMed ID: 36131919
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A Machine-Learning Approach to Developing a Predictive Signature Based on Transcriptome Profiling of Ground-Glass Opacities for Accurate Classification and Exploring the Immune Microenvironment of Early-Stage LUAD.
    Zhao Z; Yin W; Peng X; Cai Q; He B; Shi S; Peng W; Tu G; Li Y; Li D; Tao Y; Peng M; Wang X; Yu F
    Front Immunol; 2022; 13():872387. PubMed ID: 35693786
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Identifying the Role of Oxidative Stress-Related Genes as Prognostic Biomarkers and Predicting the Response of Immunotherapy and Chemotherapy in Ovarian Cancer.
    Liu Q; Yang X; Yin Y; Zhang H; Yin F; Guo P; Zhang X; Sun C; Li S; Han Y; Yang Z
    Oxid Med Cell Longev; 2022; 2022():6575534. PubMed ID: 36561981
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Diagnosis and Prediction of Endometrial Carcinoma Using Machine Learning and Artificial Neural Networks Based on Public Databases.
    Zhao D; Zhang Z; Wang Z; Du Z; Wu M; Zhang T; Zhou J; Zhao W; Meng Y
    Genes (Basel); 2022 May; 13(6):. PubMed ID: 35741697
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Potential Prognostic Immune Biomarkers of Overall Survival in Ovarian Cancer Through Comprehensive Bioinformatics Analysis: A Novel Artificial Intelligence Survival Prediction System.
    He T; Huang L; Li J; Wang P; Zhang Z
    Front Med (Lausanne); 2021; 8():587496. PubMed ID: 34109184
    [No Abstract]   [Full Text] [Related]  

  • 37. Identification of an Autophagy-Related Signature for Prognosis and Immunotherapy Response Prediction in Ovarian Cancer.
    Ding J; Wang C; Sun Y; Guo J; Liu S; Cheng Z
    Biomolecules; 2023 Feb; 13(2):. PubMed ID: 36830707
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A Novel Prognostic Risk Model for Cervical Cancer Based on Immune Checkpoint HLA-G-Driven Differentially Expressed Genes.
    Xu HH; Wang HL; Xing TJ; Wang XQ
    Front Immunol; 2022; 13():851622. PubMed ID: 35924232
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Identification of key biomarkers associated with development and prognosis in patients with ovarian carcinoma: evidence from bioinformatic analysis.
    Shen J; Yu S; Sun X; Yin M; Fei J; Zhou J
    J Ovarian Res; 2019 Nov; 12(1):110. PubMed ID: 31729978
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.