These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

167 related articles for article (PubMed ID: 32497048)

  • 1. Identification of feature risk pathways of smoking-induced lung cancer based on SVM.
    Chen R; Lin J
    PLoS One; 2020; 15(6):e0233445. PubMed ID: 32497048
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification.
    Yang L; Sun L; Wang W; Xu H; Li Y; Zhao JY; Liu DZ; Wang F; Zhang LY
    Mol Med Rep; 2018 Feb; 17(2):3005-3013. PubMed ID: 29257283
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of gene markers in the development of smoking-induced lung cancer.
    Yang Z; Zhuan B; Yan Y; Jiang S; Wang T
    Gene; 2016 Jan; 576(1 Pt 3):451-7. PubMed ID: 26518718
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Support Vector Machine for Lung Adenocarcinoma Staging Through Variant Pathways.
    Di F; He C; Pu G; Zhang C
    G3 (Bethesda); 2020 Jul; 10(7):2423-2434. PubMed ID: 32444360
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A support vector machine classifier for the prediction of osteosarcoma metastasis with high accuracy.
    He Y; Ma J; Ye X
    Int J Mol Med; 2017 Nov; 40(5):1357-1364. PubMed ID: 28901446
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Feature genes in metastatic breast cancer identified by MetaDE and SVM classifier methods.
    Tuo Y; An N; Zhang M
    Mol Med Rep; 2018 Mar; 17(3):4281-4290. PubMed ID: 29328377
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Risk gene identification and support vector machine learning to construct an early diagnosis model of myocardial infarction.
    Fang HZ; Hu DL; Li Q; Tu S
    Mol Med Rep; 2020 Sep; 22(3):1775-1782. PubMed ID: 32705275
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Construction of a 5-feature gene model by support vector machine for classifying osteoporosis samples.
    Hu M; Zou L; Lu J; Yang Z; Chen Y; Xu Y; Sun C
    Bioengineered; 2021 Dec; 12(1):6821-6830. PubMed ID: 34622712
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A multigene support vector machine predictor for metastasis of cutaneous melanoma.
    Wei D
    Mol Med Rep; 2018 Feb; 17(2):2907-2914. PubMed ID: 29257259
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
    Guo T; Hou D; Yu D
    Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of risk genes associated with myocardial infarction based on the recursive feature elimination algorithm and support vector machine classifier.
    Yang X
    Mol Med Rep; 2018 Jan; 17(1):1555-1560. PubMed ID: 29138828
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
    Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
    Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of feature genes for smoking-related lung adenocarcinoma based on gene expression profile data.
    Liu Y; Ni R; Zhang H; Miao L; Wang J; Jia W; Wang Y
    Onco Targets Ther; 2016; 9():7397-7407. PubMed ID: 27994470
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Pathway deviation-based biomarker and multi-effect target identification in asbestos-related squamous cell carcinoma of the lung.
    Du J; Zhang L
    Int J Mol Med; 2017 Mar; 39(3):579-586. PubMed ID: 28204826
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
    Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
    Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analysis of potential genetic biomarkers and molecular mechanism of smoking-related postmenopausal osteoporosis using weighted gene co-expression network analysis and machine learning.
    Li S; Chen B; Chen H; Hua Z; Shao Y; Yin H; Wang J
    PLoS One; 2021; 16(9):e0257343. PubMed ID: 34555052
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
    Yu Y; Tian X
    Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
    Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
    Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
    [TBL] [Abstract][Full Text] [Related]  

  • 19. NCC-AUC: an AUC optimization method to identify multi-biomarker panel for cancer prognosis from genomic and clinical data.
    Zou M; Liu Z; Zhang XS; Wang Y
    Bioinformatics; 2015 Oct; 31(20):3330-8. PubMed ID: 26092859
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Pathway crosstalk analysis in prostate cancer based on protein-protein network data.
    Li HY; Jin N; Han YP; Jin XF
    Neoplasma; 2017; 64(1):22-31. PubMed ID: 27881001
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.