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A Windows command-line application that implements a Bayesian wavelet-based functional mixed model methodology for functional data analysis. WFMM can be generally applied to any complex functional data sampled on a fine grid, not just methylation data, and so can be readily applied to other genome-wide data including copy number and tiling transcriptome arrays. The method is computationally intensive, but the software is optimized so that it can handle very large data sets.

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WFMM forum

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WFMM versioning

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WFMM classification

WFMM specifications

Software type:
Package
Restrictions to use:
None
Programming languages:
C++
Version:
WFMM version 3.1
Interface:
Command line interface
Operating system:
Unix/Linux, Windows
Computer skills:
Advanced
Stability:
Stable

WFMM support

Maintainer

Credits

Publications

Institution(s)

Department of Biostatistics, The University of Texas MD Anderson Cancer Center, TX, USA

Funding source(s)

National Institutes of Health (R01ES017646, R01CA107304, R01CA160736, and R01CA178744); Johns Hopkins Bloomberg School of Public Health; the Maryland Cigarette Restitution Program Research Grant; National Institute of Environmental Health Sciences (1R01ES015445); Heinz Family Foundation

Link to literature

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