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There are 20908 results for: content related to: Statistical mixture modeling for cell subtype identification in flow cytometry

  1. Model-based cluster analysis

    Wiley Interdisciplinary Reviews: Computational Statistics

    Volume 4, Issue 4, July/August 2012, Pages: 341–358, Daniel Stahl and Hannah Sallis

    Version of Record online : 15 MAR 2012, DOI: 10.1002/wics.1204

  2. Challenges in model-based clustering

    Wiley Interdisciplinary Reviews: Computational Statistics

    Volume 5, Issue 2, March/April 2013, Pages: 135–148, Volodymyr Melnykov

    Version of Record online : 7 FEB 2013, DOI: 10.1002/wics.1248

  3. You have free access to this content
    How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 62, Issue 3, May 2013, Pages: 309–369, Christian Hennig and Tim F. Liao

    Version of Record online : 9 APR 2013, DOI: 10.1111/j.1467-9876.2012.01066.x

  4. Estimating drug effects in the presence of placebo response: Causal inference using growth mixture modeling

    Statistics in Medicine

    Volume 28, Issue 27, 30 November 2009, Pages: 3363–3385, Bengt Muthén and Hendricks C. Brown

    Version of Record online : 3 SEP 2009, DOI: 10.1002/sim.3721

  5. Epitope profiling via mixture modeling of ranked data

    Statistics in Medicine

    Volume 33, Issue 21, 20 September 2014, Pages: 3738–3758, Cristina Mollica and Luca Tardella

    Version of Record online : 5 JUN 2014, DOI: 10.1002/sim.6224

  6. A hierarchical finite mixture model that accommodates zero-inflated counts, non-independence, and heterogeneity

    Statistics in Medicine

    Volume 33, Issue 13, 15 June 2014, Pages: 2238–2250, Charity J. Morgan, Mark F. Lenzenweger, Donald B. Rubin and Deborah L. Levy

    Version of Record online : 20 JAN 2014, DOI: 10.1002/sim.6091

  7. Two-way Gaussian mixture models for high dimensional classification

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 3, Issue 4, August 2010, Pages: 259–271, Mu Qiao and Jia Li

    Version of Record online : 13 JUL 2010, DOI: 10.1002/sam.10082

  8. Finite mixture modelling in mass spectrometry analysis

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 62, Issue 4, August 2013, Pages: 573–592, Volodymyr Melnykov

    Version of Record online : 25 MAR 2013, DOI: 10.1111/rssc.12010

  9. THE SIMULTANEOUS DECISION(S) ABOUT THE NUMBER OF LOWER- AND HIGHER-LEVEL CLASSES IN MULTILEVEL LATENT CLASS ANALYSIS

    Sociological Methodology

    Volume 40, Issue 1, August 2010, Pages: 247–283, Olga Lukočienė, Roberta Varriale and Jeroen K. Vermunt

    Version of Record online : 16 NOV 2010, DOI: 10.1111/j.1467-9531.2010.01231.x

  10. You have full text access to this OnlineOpen article
    Europa's surface composition from near-infrared observations: A comparison of results from linear mixture modeling and radiative transfer modeling

    Earth and Space Science

    James H. Shirley, Corey S. Jamieson and J. Bradley Dalton III

    Version of Record online : 25 AUG 2016, DOI: 10.1002/2015EA000149

  11. Mixture Modeling with NONMEM V

    Pharmacometrics: The Science of Quantitative Pharmacology

    Ene I. Ette, Paul J. Williams, Pages: 723–757, 2006

    Published Online : 18 MAY 2006, DOI: 10.1002/9780470087978.ch28

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    Optimization of a highly standardized carboxyfluorescein succinimidyl ester flow cytometry panel and gating strategy design using discriminative information measure evaluation

    Cytometry Part A

    Volume 77A, Issue 12, December 2010, Pages: 1126–1136, Cliburn Chan, Lin Lin, Jacob Frelinger, Valérie Hérbert, Dominic Gagnon, Claire Landry, Rafick-Pierre Sékaly, Jennifer Enzor, Janet Staats, Kent J. Weinhold, Maria Jaimes and Mike West

    Version of Record online : 4 NOV 2010, DOI: 10.1002/cyto.a.20987

  13. Protein spot detection and quantification in 2-DE gel images using machine-learning methods

    PROTEOMICS

    Volume 11, Issue 10, May 2011, Pages: 2038–2050, Panagiotis Tsakanikas and Elias S. Manolakos

    Version of Record online : 18 APR 2011, DOI: 10.1002/pmic.201000601

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    immunoClust—An automated analysis pipeline for the identification of immunophenotypic signatures in high-dimensional cytometric datasets

    Cytometry Part A

    Volume 87, Issue 7, July 2015, Pages: 603–615, Till Sörensen, Sabine Baumgart, Pawel Durek, Andreas Grützkau and Thomas Häupl

    Version of Record online : 7 APR 2015, DOI: 10.1002/cyto.a.22626

  15. The Inclusion of Process Variables in Mixture Experiments

    Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data, Third Edition

    John A. Cornell, Pages: 354–437, 2011

    Published Online : 26 SEP 2011, DOI: 10.1002/9781118204221.ch7

  16. Longitudinal analysis of self-reported health status by mixture latent auto-regressive models

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 63, Issue 2, February 2014, Pages: 267–288, Francesco Bartolucci, Silvia Bacci and Fulvia Pennoni

    Version of Record online : 19 SEP 2013, DOI: 10.1111/rssc.12030

  17. Item selection via Bayesian IRT models

    Statistics in Medicine

    Volume 34, Issue 3, 10 February 2015, Pages: 487–503, Serena Arima

    Version of Record online : 20 OCT 2014, DOI: 10.1002/sim.6341

  18. Integrating Person-Centered and Variable-Centered Analyses: Growth Mixture Modeling With Latent Trajectory Classes

    Alcoholism: Clinical and Experimental Research

    Volume 24, Issue 6, June 2000, Pages: 882–891, Bengt Muthén and Linda K. Muthén

    Version of Record online : 11 APR 2006, DOI: 10.1111/j.1530-0277.2000.tb02070.x

  19. FINITE NORMAL MIXTURE SEM ANALYSIS BY FITTING MULTIPLE CONVENTIONAL SEM MODELS

    Sociological Methodology

    Volume 40, Issue 1, August 2010, Pages: 191–245, Ke-Hai Yuan and Peter M. Bentler

    Version of Record online : 16 NOV 2010, DOI: 10.1111/j.1467-9531.2010.01224.x

  20. Capture–Recapture Estimation Using Finite Mixtures of Arbitrary Dimension

    Biometrics

    Volume 66, Issue 2, June 2010, Pages: 644–655, Richard Arnold, Yu Hayakawa and Paul Yip

    Version of Record online : 12 JUN 2009, DOI: 10.1111/j.1541-0420.2009.01289.x