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Dataset Open Access

HaMMLET - Supplemental Material

Wiedenhoeft, John; Brugel, Eric; Schliep, Alexander

HaMMLET is a novel type of Bayesian Hidden Markov Model, using dynamically adaptive wavelet compression for improved speedup and convergence behaviour of Forward-Backward Gibbs sampling.

This data set contains supplemental material for HaMMLET's initial publication.

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S2_Figures_Spatial_Resolution_Study.zip
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S3_Figures_Testing.zip
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S4_Figures_GSE23949.zip
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S5_Figure_Maximum_Compression.tiff
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S7_Figures_Coriell_ATCC_BRC.zip
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Publication date:
February 18, 2016
DOI:
10.5281/zenodo.46263

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10.5281/zenodo.46263

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Keyword(s):
bioinformatics software HMM Hidden Markov Model wavelet Bayesian inference CNV copy number variation array-based comparative genomic hybridization aCGH cancer
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