Poisson process factorization for mutational signature analysis with genomic covariates
Fuente:
arXiv
Saved in:
| Main Authors: | Zito, Alessandro, Parmigiani, Giovanni, Miller, Jeffrey W. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Compressive Bayesian non-negative matrix factorization for mutational signatures analysis
by: Zito, Alessandro, et al.
Published: (2024)
by: Zito, Alessandro, et al.
Published: (2024)
Improved control of Dirichlet location and scale near the boundary
by: Xue, Catherine, et al.
Published: (2024)
by: Xue, Catherine, et al.
Published: (2024)
bayesNMF: Fast Bayesian Poisson NMF with Automatically Learned Rank Applied to Mutational Signatures
by: Landy, Jenna M., et al.
Published: (2025)
by: Landy, Jenna M., et al.
Published: (2025)
fdrSAFE: Selective Aggregation for Local False Discovery Rate Estimation
by: Landy, Jenna M., et al.
Published: (2024)
by: Landy, Jenna M., et al.
Published: (2024)
A nonparametric Bayesian analysis of independent and identically distributed observations of covariate-driven Poisson processes
by: Dolmeta, Patric, et al.
Published: (2025)
by: Dolmeta, Patric, et al.
Published: (2025)
Bayesian Non-Negative Matrix Factorization with Correlated Mutation Type Probabilities for Mutational Signatures
by: Lang, Iris, et al.
Published: (2025)
by: Lang, Iris, et al.
Published: (2025)
Logistic-beta processes for dependent random probabilities with beta marginals
by: Lee, Changwoo J., et al.
Published: (2024)
by: Lee, Changwoo J., et al.
Published: (2024)
Investigating new, signature-based, spatial autoregressive models for functional covariates
by: Frévent, Camille
Published: (2025)
by: Frévent, Camille
Published: (2025)
A generalized distance covariance framework for genome-wide association studies
by: Edelmann, Dominic, et al.
Published: (2025)
by: Edelmann, Dominic, et al.
Published: (2025)
Causal Inference for Latent Outcomes Learned with Factor Models
by: Landy, Jenna M., et al.
Published: (2025)
by: Landy, Jenna M., et al.
Published: (2025)
Adjusting for Ascertainment Bias in Meta-Analysis of Penetrance for Cancer Risk
by: Ruberu, Thanthirige Lakshika M., et al.
Published: (2024)
by: Ruberu, Thanthirige Lakshika M., et al.
Published: (2024)
Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning
by: Shyr, Cathy, et al.
Published: (2023)
by: Shyr, Cathy, et al.
Published: (2023)
Multivariate Causal Effects: a Bayesian Causal Regression Factor Model
by: Zorzetto, Dafne, et al.
Published: (2025)
by: Zorzetto, Dafne, et al.
Published: (2025)
Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors
by: Zito, Alessandro, et al.
Published: (2023)
by: Zito, Alessandro, et al.
Published: (2023)
Bayesian Probit Multi-Study Non-negative Matrix Factorization for Mutational Signatures
by: Hansen, Blake, et al.
Published: (2025)
by: Hansen, Blake, et al.
Published: (2025)
Rank-adaptive covariance testing with applications to genomics and neuroimaging
by: Veitch, David, et al.
Published: (2023)
by: Veitch, David, et al.
Published: (2023)
The projected dynamic linear model for time series on the sphere
by: Zito, John, et al.
Published: (2023)
by: Zito, John, et al.
Published: (2023)
Flexible and Efficient Estimation of Causal Effects with Error-Prone Exposures: A Control Variates Approach for Measurement Error
by: Barnatchez, Keith, et al.
Published: (2024)
by: Barnatchez, Keith, et al.
Published: (2024)
Pareto optimal proxy metrics
by: Zito, Alessandro, et al.
Published: (2023)
by: Zito, Alessandro, et al.
Published: (2023)
Cross-validation Approaches for Multi-study Predictions
by: Ren, Boyu, et al.
Published: (2020)
by: Ren, Boyu, et al.
Published: (2020)
Multi-Task Learning for Sparsity Pattern Heterogeneity: Statistical and Computational Perspectives
by: Behdin, Kayhan, et al.
Published: (2022)
by: Behdin, Kayhan, et al.
Published: (2022)
Semiparametric analysis for paired comparisons with covariates
by: Song, Haoyue, et al.
Published: (2026)
by: Song, Haoyue, et al.
Published: (2026)
A dynamic copula model for probabilistic forecasting of non-Gaussian multivariate time series
by: Zito, John, et al.
Published: (2025)
by: Zito, John, et al.
Published: (2025)
Model-based clustering for covariance matrices via penalized Wishart mixture models
by: Cappozzo, Andrea, et al.
Published: (2024)
by: Cappozzo, Andrea, et al.
Published: (2024)
A powerful goodness-of-fit test using the probability integral transform of order statistics
by: Covington, Christian T., et al.
Published: (2025)
by: Covington, Christian T., et al.
Published: (2025)
Bayesian model criticism using uniform parametrization checks
by: Covington, Christian T., et al.
Published: (2025)
by: Covington, Christian T., et al.
Published: (2025)
Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements
by: Barnatchez, Keith, et al.
Published: (2025)
by: Barnatchez, Keith, et al.
Published: (2025)
Large covariance matrix estimation with factor-assisted variable clustering
by: Li, Dong, et al.
Published: (2025)
by: Li, Dong, et al.
Published: (2025)
Spectral embedding of inhomogeneous Poisson processes on multiplex networks
by: Corneck, Joshua, et al.
Published: (2026)
by: Corneck, Joshua, et al.
Published: (2026)
A discrete-time survival model to handle interval-censored covariates, with applications to HIV cohort studies
by: Kenny, Avi, et al.
Published: (2024)
by: Kenny, Avi, et al.
Published: (2024)
Model-based bi-clustering using multivariate Poisson-lognormal with general block-diagonal covariance matrix and its applications
by: Kral, Caitlin, et al.
Published: (2025)
by: Kral, Caitlin, et al.
Published: (2025)
Impact of methodological assumptions and covariates on the cutoff estimation in ROC analysis
by: Ghosal, Soutik
Published: (2024)
by: Ghosal, Soutik
Published: (2024)
Detecting changes in space-varying parameters of local Poisson point processes
by: D'Angelo, Nicoletta
Published: (2025)
by: D'Angelo, Nicoletta
Published: (2025)
Highly robust factored principal component analysis for matrix-valued outlier accommodation and explainable detection via matrix minimum covariance determinant
by: Wu, Wenhui, et al.
Published: (2025)
by: Wu, Wenhui, et al.
Published: (2025)
Cubature scheme for spatio-temporal Poisson point processes estimation
by: D'Angelo, Nicoletta, et al.
Published: (2024)
by: D'Angelo, Nicoletta, et al.
Published: (2024)
Estimating the distribution of marks of a homogeneous marked Poisson process
by: Anevski, Dragi, et al.
Published: (2018)
by: Anevski, Dragi, et al.
Published: (2018)
Blinded sample size recalculation in randomized controlled trials with analysis of covariance
by: Kanata, Takumi, et al.
Published: (2025)
by: Kanata, Takumi, et al.
Published: (2025)
A two-step estimator for multilevel latent class analysis with covariates
by: Di Mari, Roberto, et al.
Published: (2023)
by: Di Mari, Roberto, et al.
Published: (2023)
Integrated path stability selection
by: Melikechi, Omar, et al.
Published: (2024)
by: Melikechi, Omar, et al.
Published: (2024)
A covariate-dependent Cholesky decomposition for high-dimensional covariance regression
by: Kim, Rakheon, et al.
Published: (2026)
by: Kim, Rakheon, et al.
Published: (2026)
Similar Items
-
Compressive Bayesian non-negative matrix factorization for mutational signatures analysis
by: Zito, Alessandro, et al.
Published: (2024) -
Improved control of Dirichlet location and scale near the boundary
by: Xue, Catherine, et al.
Published: (2024) -
bayesNMF: Fast Bayesian Poisson NMF with Automatically Learned Rank Applied to Mutational Signatures
by: Landy, Jenna M., et al.
Published: (2025) -
fdrSAFE: Selective Aggregation for Local False Discovery Rate Estimation
by: Landy, Jenna M., et al.
Published: (2024) -
A nonparametric Bayesian analysis of independent and identically distributed observations of covariate-driven Poisson processes
by: Dolmeta, Patric, et al.
Published: (2025)