Grant Number:	5R01CA107304-07 Interpret this number
Primary Investigator:	Morris, Jeffrey
Organization:	University Of Tx Md Anderson Can Ctr
Project Title:	Adaptive Methodology for Functional Biomedical Data
Fiscal Year:	2011

DESCRIPTION (provided by applicant): An ever-increasing number of biomedical studies yield functional data sampled on a fine grid. These type of data are frequently high dimensional and complex with many irregular features like peaks and change points. There is currently a dearth of existing rigorous statistical methods for analyzing this type of data. The goal of this research program is to develop new Bayesian methodology that provides a unified framework for modeling and performing inference on samples of curves that is flexible enough to apply to a variety of applications, from various experimental designs, and can answer a broad range of research questions. 1. We will develop new methodology within the wavelet-based functional mixed model framework that accommodates outlying curves, a broader class of within- curve covariance structures, and higher dimensional functional data, making it applicable to a broad range of functional data. 2. We will develop methods to classify individuals based on their functional data, e.g. proteomic profiles, in a way that allows us to combine information across functional and scalar factors of multiple sources. We will develop methods to perform Bayesian functional hypothesis testing. 3. We will develop adaptive methods for relating functional predictors to functional responses. 4. We will develop methods for adaptive functional principal components analysis and for principal component-based functional mixed models, which represents a data-driven modeling framework that is extremely flexible in taking into account the complex structure that may be present in the functional data. 5. We will apply the methods to a number of cancer-related studies yielding functional data, including various types of proteomics and genomics data. 6. We will develop efficient, easy-to-use, freely available code to fit the methods described in this proposal.




The Relationship Between Scleral Strain Change and Differential Cumulative Intraocular Pressure Exposure in the Nonhuman Primate Chronic Ocular Hypertension Model.
Authors: Fazio M.A. , Girard M.J.A. , Lee W. , Morris J.S. , Burgoyne C.F. , Downs J.C. .
Source: Investigative Ophthalmology & Visual Science, 2019-10-01 00:00:00.0; 60(13), p. 4141-4150.
PMID: 31598625
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A Unified Analysis of Structured Sonar-terrain Data using Bayesian Functional Mixed Models.
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Source: Technometrics : A Journal Of Statistics For The Physical, Chemical, And Engineering Sciences, 2018; 60(1), p. 112-123.
EPub date: 2017-05-25 00:00:00.0.
PMID: 29749977
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Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study.
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Source: Computational Statistics & Data Analysis, 2017 Jul; 111, p. 88-101.
EPub date: 2017-02-15 00:00:00.0.
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Comparison and Contrast of Two General Functional Regression Modeling Frameworks.
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Source: Statistical Modelling, 2017 Feb; 17(1-2), p. 59-85.
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Identification of differentially methylated loci using wavelet-based functional mixed models.
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Source: Bioinformatics (oxford, England), 2016-03-01 00:00:00.0; 32(5), p. 664-72.
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PMID: 26559505
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Detection and Quantification of Protein Spots by Pinnacle.
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Source: Methods In Molecular Biology (clifton, N.j.), 2016; 1384, p. 185-201.
PMID: 26611416
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Functional Car Models For Large Spatially Correlated Functional Datasets
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Source: Journal Of The American Statistical Association, 2016; 111(514), p. 772-786.
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Bayesian function-on-function regression for multilevel functional data.
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Automatic Quantitative Analysis Of Ultrasound Tongue Contours Via Wavelet-based Functional Mixed Models
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Source: The Journal Of The Acoustical Society Of America, 2015 Feb; 137(2), p. EL178-83.
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Human Scleral Structural Stiffness Increases More Rapidly With Age In Donors Of African Descent Compared To Donors Of European Descent
Authors: Fazio M.A. , Grytz R. , Morris J.S. , Bruno L. , Girkin C.A. , Downs J.C. .
Source: Investigative Ophthalmology & Visual Science, 2014 Nov; 55(11), p. 7189-98.
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Age-related Changes In Human Peripapillary Scleral Strain
Authors: Fazio M.A. , Grytz R. , Morris J.S. , Bruno L. , Gardiner S.K. , Girkin C.A. , Downs J.C. .
Source: Biomechanics And Modeling In Mechanobiology, 2014 Jun; 13(3), p. 551-63.
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Authors: Martinez J.G. , Bohn K.M. , Carroll R.J. , Morris J.S. .
Source: Journal Of The American Statistical Association, 2013-06-01 00:00:00.0; 108(502), p. 514-526.
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Ibag: Integrative Bayesian Analysis Of High-dimensional Multiplatform Genomics Data
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Statistical Methods For Proteomic Biomarker Discovery Based On Feature Extraction Or Functional Modeling Approaches
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Source: Statistics And Its Interface, 2012-01-01 00:00:00.0; 5(1), p. 117-135.
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Robust, Adaptive Functional Regression In Functional Mixed Model Framework
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Source: Journal Of The American Statistical Association, 2011-09-01 00:00:00.0; 106(495), p. 1167-1179.
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Reproducibility Of Seldi Spectra Across Time And Laboratories
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Source: Cancer Informatics, 2011; 10, p. 45-64.
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Source: The Annals Of Applied Statistics, 2011-01-01 00:00:00.0; 5(2A), p. 894-923.
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Image Analysis Tools And Emerging Algorithms For Expression Proteomics
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Bayesian Random Segmentation Models to Identify Shared Copy Number Aberrations for Array CGH Data.
Authors: Baladandayuthapani V. , Ji Y. , Talluri R. , Nieto-Barajas L.E. , Morris J.S. .
Source: Journal Of The American Statistical Association, 2010 Dec; 105(492), p. 1358-1375.
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Wavelet-based Functional Linear Mixed Models: An Application To Measurement Error-corrected Distributed Lag Models
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Source: Biostatistics (oxford, England), 2010 Jul; 11(3), p. 432-52.
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Evaluating The Performance Of New Approaches To Spot Quantification And Differential Expression In 2-dimensional Gel Electrophoresis Studies
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Source: Journal Of Proteome Research, 2010 Jan; 9(1), p. 595-604.
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Source: Methods In Molecular Biology (clifton, N.j.), 2010; 604, p. 239-55.
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Source: The Journal Of Adolescent Health : Official Publication Of The Society For Adolescent Medicine, 2009 Sep; 45(3 Suppl), p. S91-8.
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Prepms: Tof Ms Data Graphical Preprocessing Tool
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Using Wavelet-based Functional Mixed Models To Characterize Population Heterogeneity In Accelerometer Profiles: A Case Study
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Wavelet-based Functional Mixed Models
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Source: Nature Biotechnology, 2005 Mar; 23(3), p. 291-2.
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Signal In Noise: Evaluating Reported Reproducibility Of Serum Proteomic Tests For Ovarian Cancer
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A Comprehensive Approach To The Analysis Of Matrix-assisted Laser Desorption/ionization-time Of Flight Proteomics Spectra From Serum Samples
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Source: Proteomics, 2003 Sep; 3(9), p. 1667-72.
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