BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 29286069)

  • 1. A 16-gene expression signature to distinguish stage I from stage II lung squamous carcinoma.
    Wang R; Cai Y; Zhang B; Wu Z
    Int J Mol Med; 2018 Mar; 41(3):1377-1384. PubMed ID: 29286069
    [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. 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]  

  • 4. Establishment of a SVM classifier to predict recurrence of ovarian cancer.
    Zhou J; Li L; Wang L; Li X; Xing H; Cheng L
    Mol Med Rep; 2018 Oct; 18(4):3589-3598. PubMed ID: 30106117
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Support vector machine classifier for prediction of the metastasis of colorectal cancer.
    Zhi J; Sun J; Wang Z; Ding W
    Int J Mol Med; 2018 Mar; 41(3):1419-1426. PubMed ID: 29328363
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. A Novel Immune-Related Seventeen-Gene Signature for Predicting Early Stage Lung Squamous Cell Carcinoma Prognosis.
    Fan T; Lu Z; Liu Y; Wang L; Tian H; Zheng Y; Zheng B; Xue L; Tan F; Xue Q; Gao S; Li C; He J
    Front Immunol; 2021; 12():665407. PubMed ID: 34177903
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of differentially expressed genes between lung adenocarcinoma and lung squamous cell carcinoma by gene expression profiling.
    Lu C; Chen H; Shan Z; Yang L
    Mol Med Rep; 2016 Aug; 14(2):1483-90. PubMed ID: 27356570
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A 21‑gene Support Vector Machine classifier and a 10‑gene risk score system constructed for patients with gastric cancer.
    Jiang H; Gu J; Du J; Qi X; Qian C; Fei B
    Mol Med Rep; 2020 Jan; 21(1):347-359. PubMed ID: 31939629
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of a six-gene prognostic signature for oral squamous cell carcinoma.
    Wang J; Wang Y; Kong F; Han R; Song W; Chen D; Bu L; Wang S; Yue J; Ma L
    J Cell Physiol; 2020 Mar; 235(3):3056-3068. PubMed ID: 31538341
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bioinformatics analysis of gene expression profiles of esophageal squamous cell carcinoma.
    He Y; Liu J; Zhao Z; Zhao H
    Dis Esophagus; 2017 May; 30(5):1-8. PubMed ID: 28375447
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A novel 12-gene signature as independent prognostic model in stage IA and IB lung squamous cell carcinoma patients.
    Wang K; Li Y; Wang J; Chen R; Li J
    Clin Transl Oncol; 2021 Nov; 23(11):2368-2381. PubMed ID: 34028782
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of Novel Biomarkers Related to Lung Squamous Cell Carcinoma Using Integrated Bioinformatics Analysis.
    Wang H; Huang L; Chen L; Ji J; Zheng Y; Wang Z
    Comput Math Methods Med; 2021; 2021():9059116. PubMed ID: 34659450
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Tumor mutation burden (TMB)-associated signature constructed to predict survival of lung squamous cell carcinoma patients.
    Yan D; Chen Y
    Sci Rep; 2021 Apr; 11(1):9020. PubMed ID: 33907270
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting the Lung Squamous Cell Carcinoma Diagnosis and Prognosis Markers by Unique DNA Methylation and Gene Expression Profiles.
    Wang W; Wang S; Chu X; Liu H; Xiang M
    J Comput Biol; 2020 Jul; 27(7):1041-1054. PubMed ID: 31710242
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Distinct Molecular Mechanisms Analysis of Three Lung Cancer Subtypes Based on Gene Expression Profiles.
    Wang L; Pei Y; Li S; Zhang S; Yang Y
    J Comput Biol; 2019 Oct; 26(10):1140-1155. PubMed ID: 31305128
    [No Abstract]   [Full Text] [Related]  

  • 18. Identification of Key Genes Related to Lung Squamous Cell Carcinoma Using Bioinformatics Analysis.
    Gao M; Kong W; Huang Z; Xie Z
    Int J Mol Sci; 2020 Apr; 21(8):. PubMed ID: 32340320
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of a Gene Prognostic Signature for Oral Squamous Cell Carcinoma by RNA Sequencing and Bioinformatics.
    Zhang YY; Mao MH; Han ZX
    Biomed Res Int; 2021; 2021():6657767. PubMed ID: 33869632
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.