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 *

135 related articles for article (PubMed ID: 22784619)

  • 1. Kernelized partial least squares for feature reduction and classification of gene microarray data.
    Land WH; Qiao X; Margolis DE; Ford WS; Paquette CT; Perez-Rogers JF; Borgia JA; Yang JY; Deng Y
    BMC Syst Biol; 2011; 5 Suppl 3(Suppl 3):S13. PubMed ID: 22784619
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Selecting subsets of newly extracted features from PCA and PLS in microarray data analysis.
    Li GZ; Bu HL; Yang MQ; Zeng XQ; Yang JY
    BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S24. PubMed ID: 18831790
    [TBL] [Abstract][Full Text] [Related]  

  • 3. New bandwidth selection criterion for Kernel PCA: approach to dimensionality reduction and classification problems.
    Thomas M; De Brabanter K; De Moor B
    BMC Bioinformatics; 2014 May; 15():137. PubMed ID: 24886083
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Partial least squares dimension reduction for microarray gene expression data with a censored response.
    Nguyen DV
    Math Biosci; 2005 Jan; 193(1):119-37. PubMed ID: 15681279
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improving PLS-RFE based gene selection for microarray data classification.
    Wang A; An N; Chen G; Li L; Alterovitz G
    Comput Biol Med; 2015 Jul; 62():14-24. PubMed ID: 25912984
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Stable feature selection and classification algorithms for multiclass microarray data.
    Student S; Fujarewicz K
    Biol Direct; 2012 Oct; 7():33. PubMed ID: 23031190
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Tumor classification by partial least squares using microarray gene expression data.
    Nguyen DV; Rocke DM
    Bioinformatics; 2002 Jan; 18(1):39-50. PubMed ID: 11836210
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.
    Cui S; Luo Y; Tseng HH; Ten Haken RK; El Naqa I
    Med Phys; 2019 May; 46(5):2497-2511. PubMed ID: 30891794
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Overoptimism in cross-validation when using partial least squares-discriminant analysis for omics data: a systematic study.
    Rodríguez-Pérez R; Fernández L; Marco S
    Anal Bioanal Chem; 2018 Sep; 410(23):5981-5992. PubMed ID: 29959482
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A tutorial review: Metabolomics and partial least squares-discriminant analysis--a marriage of convenience or a shotgun wedding.
    Gromski PS; Muhamadali H; Ellis DI; Xu Y; Correa E; Turner ML; Goodacre R
    Anal Chim Acta; 2015 Jun; 879():10-23. PubMed ID: 26002472
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
    Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
    BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The application of feature engineering in establishing a rapid and robust model for identifying patients with glioma.
    Ma M; Tian X; Chen F; Ma X; Guo W; Lv X
    Lasers Med Sci; 2022 Mar; 37(2):1007-1015. PubMed ID: 34241708
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Nonnegative least-squares methods for the classification of high-dimensional biological data.
    Li Y; Ngom A
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(2):447-56. PubMed ID: 23929868
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Regularized Least Squares Cancer classifiers from DNA microarray data.
    Ancona N; Maglietta R; D'Addabbo A; Liuni S; Pesole G
    BMC Bioinformatics; 2005 Dec; 6 Suppl 4(Suppl 4):S2. PubMed ID: 16351746
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine.
    Xi M; Sun J; Liu L; Fan F; Wu X
    Comput Math Methods Med; 2016; 2016():3572705. PubMed ID: 27642363
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data.
    Bastien P; Bertrand F; Meyer N; Maumy-Bertrand M
    Bioinformatics; 2015 Feb; 31(3):397-404. PubMed ID: 25286920
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A comparison of methods for classifying clinical samples based on proteomics data: a case study for statistical and machine learning approaches.
    Sampson DL; Parker TJ; Upton Z; Hurst CP
    PLoS One; 2011; 6(9):e24973. PubMed ID: 21969867
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Classification of structurally related commercial contrast media by near infrared spectroscopy.
    Yip WL; Soosainather TC; Dyrstad K; Sande SA
    J Pharm Biomed Anal; 2014 Mar; 90():148-60. PubMed ID: 24374816
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 7.