Hammlet - Supplemental Material

Research datakeyboard_double_arrow_right Dataset 18 Feb 2016Publisher:ZenodoFunded by:NIH | Meaningful Data Compressi..., NSF | REU Site: DIMACS REU in C...

Authors: Wiedenhoeft, John; Brugel, Eric; Schliep, Alexander;

doi: 10.5281/zenodo.46263

Hammlet - Supplemental Material

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Abstract

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.

Related Organizations

Rutgers, The State University of New Jersey
United States

Keywords

aCGH, software, wavelet, Bayesian inference, CNV, copy number variation, cancer, bioinformatics, HMM, array-based comparative genomic hybridization, Hidden Markov Model

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