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.
Files
(27.1 GB)
156
80
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 156 | 156 |
| Downloads | 80 | 80 |
| Data volume | 97.7 GB | 97.7 GB |
| Unique views | 148 | 148 |
| Unique downloads | 51 | 51 |
Indexed in
- Publication date:
- February 18, 2016
- DOI:
-
- Keyword(s):
- bioinformatics software HMM Hidden Markov Model wavelet Bayesian inference CNV copy number variation array-based comparative genomic hybridization aCGH cancer
- Related identifiers:
- Supplement to
- Communities:
- License (for files):
- Creative Commons Zero v1.0 Universal