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 *

157 related articles for article (PubMed ID: 34195450)

  • 1. Examining variable selection methods for the predictive performance of regression models and the proportion of selected variables and selected random variables.
    Kaneko H
    Heliyon; 2021 Jun; 7(6):e07356. PubMed ID: 34195450
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of variable selection methods for clinical predictive modeling.
    Sanchez-Pinto LN; Venable LR; Fahrenbach J; Churpek MM
    Int J Med Inform; 2018 Aug; 116():10-17. PubMed ID: 29887230
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Recursive Random Forests Enable Better Predictive Performance and Model Interpretation than Variable Selection by LASSO.
    Zhu XW; Xin YJ; Ge HL
    J Chem Inf Model; 2015 Apr; 55(4):736-46. PubMed ID: 25746224
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comprehensive new approaches for variable selection using ordered predictors selection.
    Roque JV; Cardoso W; Peternelli LA; Teófilo RF
    Anal Chim Acta; 2019 Oct; 1075():57-70. PubMed ID: 31196424
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of plant-level tomato biomass and yield using machine learning with unmanned aerial vehicle imagery.
    Tatsumi K; Igarashi N; Mengxue X
    Plant Methods; 2021 Jul; 17(1):77. PubMed ID: 34266447
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Interpretability and Class Imbalance in Prediction Models for Pain Volatility in Manage My Pain App Users: Analysis Using Feature Selection and Majority Voting Methods.
    Rahman QA; Janmohamed T; Clarke H; Ritvo P; Heffernan J; Katz J
    JMIR Med Inform; 2019 Nov; 7(4):e15601. PubMed ID: 31746764
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Interpretability of selected variables and performance comparison of variable selection methods in a polyethylene and polypropylene NIR classification task.
    Sem V
    Spectrochim Acta A Mol Biomol Spectrosc; 2021 Sep; 258():119850. PubMed ID: 33957449
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A bootstrapping soft shrinkage approach for variable selection in chemical modeling.
    Deng BC; Yun YH; Cao DS; Yin YL; Wang WT; Lu HM; Luo QY; Liang YZ
    Anal Chim Acta; 2016 Feb; 908():63-74. PubMed ID: 26826688
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Optimal Regression Method for Near-Infrared Spectroscopic Evaluation of Articular Cartilage.
    Prakash M; Sarin JK; Rieppo L; Afara IO; Töyräs J
    Appl Spectrosc; 2017 Oct; 71(10):2253-2262. PubMed ID: 28753034
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Random forests for feature selection in QSPR Models - an application for predicting standard enthalpy of formation of hydrocarbons.
    Teixeira AL; Leal JP; Falcao AO
    J Cheminform; 2013 Feb; 5(1):9. PubMed ID: 23399299
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Highly identification of keemun black tea rank based on cognitive spectroscopy: Near infrared spectroscopy combined with feature variable selection.
    Ren G; Wang Y; Ning J; Zhang Z
    Spectrochim Acta A Mol Biomol Spectrosc; 2020 Apr; 230():118079. PubMed ID: 31982655
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predictive-property-ranked variable reduction in partial least squares modelling with final complexity adapted models: comparison of properties for ranking.
    Andries JP; Vander Heyden Y; Buydens LM
    Anal Chim Acta; 2013 Jan; 760():34-45. PubMed ID: 23265731
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A modification of the bootstrapping soft shrinkage approach for spectral variable selection in the issue of over-fitting, model accuracy and variable selection credibility.
    Yan H; Song X; Tian K; Gao J; Li Q; Xiong Y; Min S
    Spectrochim Acta A Mol Biomol Spectrosc; 2019 Mar; 210():362-371. PubMed ID: 30502724
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Genetic Algorithm and Self-Organizing Maps for QSPR Study of Some N-aryl Derivatives as Butyrylcholinesterase Inhibitors.
    Ahmadi S; Ganji S
    Curr Drug Discov Technol; 2016; 13(4):232-253. PubMed ID: 27457492
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Discrimination of
    Shen T; Yu H; Wang YZ
    Molecules; 2020 Mar; 25(6):. PubMed ID: 32210010
    [No Abstract]   [Full Text] [Related]  

  • 16. A Partial Least Squares based algorithm for parsimonious variable selection.
    Mehmood T; Martens H; Sæbø S; Warringer J; Snipen L
    Algorithms Mol Biol; 2011 Dec; 6(1):27. PubMed ID: 22142365
    [TBL] [Abstract][Full Text] [Related]  

  • 17. M3GPSpectra: A novel approach integrating variable selection/construction and MLR modeling for quantitative spectral analysis.
    Yang Y; Wang X; Zhao X; Huang M; Zhu Q
    Anal Chim Acta; 2021 May; 1160():338453. PubMed ID: 33894955
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improved variable reduction in partial least squares modelling based on predictive-property-ranked variables and adaptation of partial least squares complexity.
    Andries JP; Vander Heyden Y; Buydens LM
    Anal Chim Acta; 2011 Oct; 705(1-2):292-305. PubMed ID: 21962372
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Comparison of Random Forest Variable Selection Methods for Classification Prediction Modeling.
    Speiser JL; Miller ME; Tooze J; Ip E
    Expert Syst Appl; 2019 Nov; 134():93-101. PubMed ID: 32968335
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Genetic algorithm optimisation combined with partial least squares regression and mutual information variable selection procedures in near-infrared quantitative analysis of cotton-viscose textiles.
    Durand A; Devos O; Ruckebusch C; Huvenne JP
    Anal Chim Acta; 2007 Jul; 595(1-2):72-9. PubMed ID: 17605985
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.