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 *

158 related articles for article (PubMed ID: 29235070)

  • 1. PredPsych: A toolbox for predictive machine learning-based approach in experimental psychology research.
    Koul A; Becchio C; Cavallo A
    Behav Res Methods; 2018 Aug; 50(4):1657-1672. PubMed ID: 29235070
    [TBL] [Abstract][Full Text] [Related]  

  • 2. PRoNTo: pattern recognition for neuroimaging toolbox.
    Schrouff J; Rosa MJ; Rondina JM; Marquand AF; Chu C; Ashburner J; Phillips C; Richiardi J; Mourão-Miranda J
    Neuroinformatics; 2013 Jul; 11(3):319-37. PubMed ID: 23417655
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MVPAlab: A machine learning decoding toolbox for multidimensional electroencephalography data.
    López-García D; Peñalver JMG; Górriz JM; Ruz M
    Comput Methods Programs Biomed; 2022 Feb; 214():106549. PubMed ID: 34910975
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Idiographic Approach in Psychological Research. The Challenge of Overcoming Old Distinctions Without Risking to Homogenize.
    De Luca Picione R
    Integr Psychol Behav Sci; 2015 Sep; 49(3):360-70. PubMed ID: 25939530
    [TBL] [Abstract][Full Text] [Related]  

  • 5. GeneSelectML: a comprehensive way of gene selection for RNA-Seq data via machine learning algorithms.
    Dag O; Kasikci M; Ilk O; Yesiltepe M
    Med Biol Eng Comput; 2023 Jan; 61(1):229-241. PubMed ID: 36355333
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multinomial processing tree models: an implementation.
    Hu X
    Behav Res Methods Instrum Comput; 1999 Nov; 31(4):689-95. PubMed ID: 10633986
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification.
    Mendez KM; Reinke SN; Broadhurst DI
    Metabolomics; 2019 Nov; 15(12):150. PubMed ID: 31728648
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Survival prediction models: an introduction to discrete-time modeling.
    Suresh K; Severn C; Ghosh D
    BMC Med Res Methodol; 2022 Jul; 22(1):207. PubMed ID: 35883032
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Single-Case Research Methods: History and Suitability for a Psychological Science in Need of Alternatives.
    Hurtado-Parrado C; López-López W
    Integr Psychol Behav Sci; 2015 Sep; 49(3):323-49. PubMed ID: 25876996
    [TBL] [Abstract][Full Text] [Related]  

  • 11. GraphVar 2.0: A user-friendly toolbox for machine learning on functional connectivity measures.
    Waller L; Brovkin A; Dorfschmidt L; Bzdok D; Walter H; Kruschwitz JD
    J Neurosci Methods; 2018 Oct; 308():21-33. PubMed ID: 30026069
    [TBL] [Abstract][Full Text] [Related]  

  • 12. What Is the Accuracy of Three Different Machine Learning Techniques to Predict Clinical Outcomes After Shoulder Arthroplasty?
    Kumar V; Roche C; Overman S; Simovitch R; Flurin PH; Wright T; Zuckerman J; Routman H; Teredesai A
    Clin Orthop Relat Res; 2020 Oct; 478(10):2351-2363. PubMed ID: 32332242
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A machine learning-based approach to prognostic analysis of thoracic transplantations.
    Delen D; Oztekin A; Kong ZJ
    Artif Intell Med; 2010 May; 49(1):33-42. PubMed ID: 20153956
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
    Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
    Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Biopsychology-Toolbox: a free, open-source Matlab-toolbox for the control of behavioral experiments.
    Rose J; Otto T; Dittrich L
    J Neurosci Methods; 2008 Oct; 175(1):104-7. PubMed ID: 18765252
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Applying the permutation test to factorial designs.
    Mewhort DJ; Johns BT; Kelly MA
    Behav Res Methods; 2010 May; 42(2):366-72. PubMed ID: 20479168
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Toward a unified framework for interpreting machine-learning models in neuroimaging.
    Kohoutová L; Heo J; Cha S; Lee S; Moon T; Wager TD; Woo CW
    Nat Protoc; 2020 Apr; 15(4):1399-1435. PubMed ID: 32203486
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning in computational docking.
    Khamis MA; Gomaa W; Ahmed WF
    Artif Intell Med; 2015 Mar; 63(3):135-52. PubMed ID: 25724101
    [TBL] [Abstract][Full Text] [Related]  

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

    [Next]    [New Search]
    of 8.