A Bayesian Boolean Matrix Factorization with Application to Copy Number Analysis in Cancer

arXiv:2606.17491 · stat.ML, cs.LG, stat.ME · Submitted 2026-06-16 · Read on arXiv

Adolphus Wagala, Mehmet Samur, Giovanni Parmigiani

stat.ML, cs.LG, stat.ME

Submitted: 2026-06-16

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Multiple Myeloma — 18× in this paper
Bayesian Boolean Matrix Factorization — 10× in this paper
Reconstruction Error — 9× in this paper · explained in 2 episodes
Clustering — 6× in this paper · explained in 2 episodes
Sparsity — 6× in this paper · explained in 5 episodes
Accuracy — 5× in this paper · explained in 1 episode
Uncertainty Quantification — 4× in this paper · explained in 9 episodes
Hyperparameters — 3× in this paper · explained in 2 episodes
Binary Matrix Factorization — 2× in this paper
False Negatives — 2× in this paper · explained in 2 episodes
Fidelity — 2× in this paper · explained in 2 episodes
Generative Model — 2× in this paper · explained in 2 episodes
Robustness — 2× in this paper · explained in 6 episodes
Trace — 2× in this paper · explained in 2 episodes
Benchmark — 1× in this paper · explained in 2 episodes
Conditional Independence — 1× in this paper · explained in 2 episodes
Cosine Similarity — 1× in this paper · explained in 3 episodes
Effective Rank — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 14 episodes
Gibbs Sampler and Maximum A Posteriori — 1× in this paper
Latent Variables — 1× in this paper · explained in 2 episodes
Quantifying Uncertainty — 1× in this paper · explained in 5 episodes

Sources

Recent Developments in Boolean Matrix Factorization

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