BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1447 related articles for article (PubMed ID: 19396166)

  • 1. Circular analysis in systems neuroscience: the dangers of double dipping.
    Kriegeskorte N; Simmons WK; Bellgowan PS; Baker CI
    Nat Neurosci; 2009 May; 12(5):535-40. PubMed ID: 19396166
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Everything you never wanted to know about circular analysis, but were afraid to ask.
    Kriegeskorte N; Lindquist MA; Nichols TE; Poldrack RA; Vul E
    J Cereb Blood Flow Metab; 2010 Sep; 30(9):1551-7. PubMed ID: 20571517
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Putative null distributions corresponding to tests of differential expression in the Golden Spike dataset are intensity dependent.
    Gaile DP; Miecznikowski JC
    BMC Genomics; 2007 Apr; 8():105. PubMed ID: 17445265
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploring predictive and reproducible modeling with the single-subject FIAC dataset.
    Chen X; Pereira F; Lee W; Strother S; Mitchell T
    Hum Brain Mapp; 2006 May; 27(5):452-61. PubMed ID: 16565951
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnosis of single-subject and group fMRI data with SPMd.
    Zhang H; Luo WL; Nichols TE
    Hum Brain Mapp; 2006 May; 27(5):442-51. PubMed ID: 16615119
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Selective peak inference: Unbiased estimation of raw and standardized effect size at local maxima.
    Davenport S; Nichols TE
    Neuroimage; 2020 Apr; 209():116375. PubMed ID: 31866164
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A comprehensive evaluation of increasing temporal resolution with multiband-accelerated protocols and effects on statistical outcome measures in fMRI.
    Demetriou L; Kowalczyk OS; Tyson G; Bello T; Newbould RD; Wall MB
    Neuroimage; 2018 Aug; 176():404-416. PubMed ID: 29738911
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparison of denoising pipelines in high temporal resolution task-based functional magnetic resonance imaging data.
    Mayer AR; Ling JM; Dodd AB; Shaff NA; Wertz CJ; Hanlon FM
    Hum Brain Mapp; 2019 Sep; 40(13):3843-3859. PubMed ID: 31119818
    [TBL] [Abstract][Full Text] [Related]  

  • 9. From simultaneous to synergistic MR-PET brain imaging: A review of hybrid MR-PET imaging methodologies.
    Chen Z; Jamadar SD; Li S; Sforazzini F; Baran J; Ferris N; Shah NJ; Egan GF
    Hum Brain Mapp; 2018 Dec; 39(12):5126-5144. PubMed ID: 30076750
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions.
    Zarahn E; Aguirre GK; D'Esposito M
    Neuroimage; 1997 Apr; 5(3):179-97. PubMed ID: 9345548
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Philosophy of neuroscience and options of systems science.
    Tretter F; Gebicke-Haerter PJ
    Pharmacopsychiatry; 2009 May; 42 Suppl 1():S2-S10. PubMed ID: 19434553
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The significance of streamlined postprocessing approaches for clinical FMRI.
    Pillai JJ
    AJNR Am J Neuroradiol; 2013; 34(6):1194-6. PubMed ID: 23292528
    [No Abstract]   [Full Text] [Related]  

  • 13. Analyzing for information, not activation, to exploit high-resolution fMRI.
    Kriegeskorte N; Bandettini P
    Neuroimage; 2007 Dec; 38(4):649-62. PubMed ID: 17804260
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cross-validation failure: Small sample sizes lead to large error bars.
    Varoquaux G
    Neuroimage; 2018 Oct; 180(Pt A):68-77. PubMed ID: 28655633
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mesoscale in neuroimaging: creating bridges between the microscopic and system levels.
    Riera J; Sosa PV
    J Integr Neurosci; 2010 Dec; 9(4):v-vii. PubMed ID: 21261130
    [No Abstract]   [Full Text] [Related]  

  • 16. Mining for associations between text and brain activation in a functional neuroimaging database.
    Nielsen FA; Hansen LK; Balslev D
    Neuroinformatics; 2004; 2(4):369-80. PubMed ID: 15800369
    [TBL] [Abstract][Full Text] [Related]  

  • 17. How ignoring physiological noise can bias the conclusions from fMRI simulation results.
    Welvaert M; Rosseel Y
    J Neurosci Methods; 2012 Oct; 211(1):125-32. PubMed ID: 22960507
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MACS - a new SPM toolbox for model assessment, comparison and selection.
    Soch J; Allefeld C
    J Neurosci Methods; 2018 Aug; 306():19-31. PubMed ID: 29842901
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Java-based fMRI processing pipeline evaluation system for assessment of univariate general linear model and multivariate canonical variate analysis-based pipelines.
    Zhang J; Liang L; Anderson JR; Gatewood L; Rottenberg DA; Strother SC
    Neuroinformatics; 2008; 6(2):123-34. PubMed ID: 18506642
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Exact multivariate tests for brain imaging data.
    Almeida R; Ledberg A
    Hum Brain Mapp; 2002 May; 16(1):24-35. PubMed ID: 11870924
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 73.