BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

247 related articles for article (PubMed ID: 32853243)

  • 1. A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM).
    Guo CY; Chou YC
    PLoS One; 2020; 15(8):e0238384. PubMed ID: 32853243
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data.
    Zhang Y; Deng Q; Liang W; Zou X
    Biomed Res Int; 2018; 2018():7538204. PubMed ID: 30228989
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Recursive Support Vector Machine Biomarker Selection for Alzheimer's Disease.
    Zhang F; Petersen M; Johnson L; Hall J; O'Bryant SE
    J Alzheimers Dis; 2021; 79(4):1691-1700. PubMed ID: 33492292
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SVM-RFE: selection and visualization of the most relevant features through non-linear kernels.
    Sanz H; Valim C; Vegas E; Oller JM; Reverter F
    BMC Bioinformatics; 2018 Nov; 19(1):432. PubMed ID: 30453885
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction.
    Shi P; Ray S; Zhu Q; Kon MA
    BMC Bioinformatics; 2011 Sep; 12():375. PubMed ID: 21939564
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Breast Cancer Subtypes Classification with Hybrid Machine Learning Model.
    Sarkar S; Mali K
    Methods Inf Med; 2022 Sep; 61(3-04):68-83. PubMed ID: 36096144
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An efficient alpha seeding method for optimized extreme learning machine-based feature selection algorithm.
    Ding X; Yang F; Jin S; Cao J
    Comput Biol Med; 2021 Jul; 134():104505. PubMed ID: 34102404
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis of structural brain MRI and multi-parameter classification for Alzheimer's disease.
    Zhang Y; Liu S
    Biomed Tech (Berl); 2018 Jul; 63(4):427-437. PubMed ID: 28622141
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics.
    Lin X; Li C; Zhang Y; Su B; Fan M; Wei H
    Molecules; 2017 Dec; 23(1):. PubMed ID: 29278382
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Evaluation of Feature Selection Techniques for Breast Cancer Risk Prediction.
    López NC; García-Ordás MT; Vitelli-Storelli F; Fernández-Navarro P; Palazuelos C; Alaiz-Rodríguez R
    Int J Environ Res Public Health; 2021 Oct; 18(20):. PubMed ID: 34682416
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Ensemble Feature Learning of Genomic Data Using Support Vector Machine.
    Anaissi A; Goyal M; Catchpoole DR; Braytee A; Kennedy PJ
    PLoS One; 2016; 11(6):e0157330. PubMed ID: 27304923
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Tuning to optimize SVM approach for assisting ovarian cancer diagnosis with photoacoustic imaging.
    Wang R; Li R; Lei Y; Zhu Q
    Biomed Mater Eng; 2015; 26 Suppl 1():S975-81. PubMed ID: 26406101
    [TBL] [Abstract][Full Text] [Related]  

  • 14. QSAR modelling study of the bioconcentration factor and toxicity of organic compounds to aquatic organisms using machine learning and ensemble methods.
    Ai H; Wu X; Zhang L; Qi M; Zhao Y; Zhao Q; Zhao J; Liu H
    Ecotoxicol Environ Saf; 2019 Sep; 179():71-78. PubMed ID: 31026752
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Absolute cosine-based SVM-RFE feature selection method for prostate histopathological grading.
    Sahran S; Albashish D; Abdullah A; Shukor NA; Hayati Md Pauzi S
    Artif Intell Med; 2018 May; 87():78-90. PubMed ID: 29680688
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An improved support vector machine-based diabetic readmission prediction.
    Cui S; Wang D; Wang Y; Yu PW; Jin Y
    Comput Methods Programs Biomed; 2018 Nov; 166():123-135. PubMed ID: 30415712
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study.
    Qureshi MN; Min B; Jo HJ; Lee B
    PLoS One; 2016; 11(8):e0160697. PubMed ID: 27500640
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An efficient model selection for linear discriminant function-based recursive feature elimination.
    Ding X; Yang F; Ma F
    J Biomed Inform; 2022 May; 129():104070. PubMed ID: 35436594
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis.
    Elemam T; Elshrkawey M
    ScientificWorldJournal; 2022; 2022():1056490. PubMed ID: 35983572
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Enzyme classification using multiclass support vector machine and feature subset selection.
    Pradhan D; Padhy S; Sahoo B
    Comput Biol Chem; 2017 Oct; 70():211-219. PubMed ID: 28934693
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.