Integrated differential analysis of multi-omics data using a joint mixture model: idiffomix
Fuente:
arXiv
Guardado en:
| Autores principales: | Majumdar, Koyel, Jaffrézic, Florence, Rau, Andrea, Gormley, Isobel Claire, Murphy, Thomas Brendan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A novel family of beta mixture models for the differential analysis of DNA methylation data: an application to prostate cancer
por: Majumdar, Koyel, et al.
Publicado: (2022)
por: Majumdar, Koyel, et al.
Publicado: (2022)
Gaussian copula correlation network analysis with application to multi-omics data
por: Tomilina, Ekaterina, et al.
Publicado: (2025)
por: Tomilina, Ekaterina, et al.
Publicado: (2025)
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images
por: Babu, Ganesh, et al.
Publicado: (2024)
por: Babu, Ganesh, et al.
Publicado: (2024)
Missing data imputation using a truncated Gaussian infinite factor model with application to metabolomics data
por: Finucane, Kate, et al.
Publicado: (2024)
por: Finucane, Kate, et al.
Publicado: (2024)
Variational Inference for the Latent Shrinkage Position Model
por: Gwee, Xian Yao, et al.
Publicado: (2023)
por: Gwee, Xian Yao, et al.
Publicado: (2023)
A Latent Shrinkage Position Model for Binary and Count Network Data
por: Gwee, Xian Yao, et al.
Publicado: (2022)
por: Gwee, Xian Yao, et al.
Publicado: (2022)
Model-based Clustering for Network Data via a Latent Shrinkage Position Cluster Model
por: Gwee, Xian Yao, et al.
Publicado: (2023)
por: Gwee, Xian Yao, et al.
Publicado: (2023)
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression
por: Urbas, Szymon, et al.
Publicado: (2023)
por: Urbas, Szymon, et al.
Publicado: (2023)
Identifying Brexit voting patterns in the British House of Commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects
por: Berrettini, Marco, et al.
Publicado: (2021)
por: Berrettini, Marco, et al.
Publicado: (2021)
Summarising mortality data with a time-dependent beta latent variable model
por: de Araújo, Pedro Menezes, et al.
Publicado: (2026)
por: de Araújo, Pedro Menezes, et al.
Publicado: (2026)
Clustering country-level all-cause mortality data: a review
por: de Araujo, Pedro Menezes, et al.
Publicado: (2025)
por: de Araujo, Pedro Menezes, et al.
Publicado: (2025)
Distributed inference for heterogeneous mixture models using multi-site data
por: Liu, Xiaokang, et al.
Publicado: (2025)
por: Liu, Xiaokang, et al.
Publicado: (2025)
Partial membership models for soft clustering of multivariate football player performance data
por: Seri, Emiliano, et al.
Publicado: (2024)
por: Seri, Emiliano, et al.
Publicado: (2024)
Conditional inference for high-dimensional multi-omics survival data
por: Zhang, Heyuan, et al.
Publicado: (2025)
por: Zhang, Heyuan, et al.
Publicado: (2025)
A latent variable model for identifying and characterizing food adulteration
por: Casa, Alessandro, et al.
Publicado: (2025)
por: Casa, Alessandro, et al.
Publicado: (2025)
Adaptive enrichment trial designs using joint modeling of longitudinal and time-to-event data
por: Burdon, Abigail J., et al.
Publicado: (2023)
por: Burdon, Abigail J., et al.
Publicado: (2023)
Gaussian mixture copulas for flexible dependence modelling in the body and tails of joint distributions
por: André, Lídia M., et al.
Publicado: (2025)
por: André, Lídia M., et al.
Publicado: (2025)
Bayesian mixture modeling using a mixture of finite mixtures with normalized inverse Gaussian weights
por: Iwashige, Fumiya, et al.
Publicado: (2025)
por: Iwashige, Fumiya, et al.
Publicado: (2025)
Pathway-based Bayesian factor models for 'omics data
por: Mauri, Lorenzo, et al.
Publicado: (2026)
por: Mauri, Lorenzo, et al.
Publicado: (2026)
MCMC for Bayesian nonparametric mixture modeling under differential privacy
por: Beraha, Mario, et al.
Publicado: (2023)
por: Beraha, Mario, et al.
Publicado: (2023)
Expert-elicitation method for non-parametric joint priors using normalizing flows
por: Bockting, Florence, et al.
Publicado: (2024)
por: Bockting, Florence, et al.
Publicado: (2024)
Comparison of the LASSO and Integrative LASSO with Penalty Factors (IPF-LASSO) methods for multi-omics data: Variable selection with Type I error control
por: Castel, Charlotte, et al.
Publicado: (2024)
por: Castel, Charlotte, et al.
Publicado: (2024)
Deep learning joint extremes of metocean variables using the SPAR model
por: Mackay, Ed, et al.
Publicado: (2024)
por: Mackay, Ed, et al.
Publicado: (2024)
Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
por: Bhandari, Saurabh, et al.
Publicado: (2025)
por: Bhandari, Saurabh, et al.
Publicado: (2025)
Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
por: Rustand, Denis, et al.
Publicado: (2022)
por: Rustand, Denis, et al.
Publicado: (2022)
A generalised discrete mixture model to better capture preference heterogeneity in discrete choice data
por: Hancock, Thomas O., et al.
Publicado: (2025)
por: Hancock, Thomas O., et al.
Publicado: (2025)
Bayesian repulsive mixture model for multivariate functional data
por: Pedroso, Ricardo Cunha, et al.
Publicado: (2026)
por: Pedroso, Ricardo Cunha, et al.
Publicado: (2026)
A joint model for DHS and MICS surveys: Spatial modeling with anonymized locations
por: Paige, John, et al.
Publicado: (2024)
por: Paige, John, et al.
Publicado: (2024)
Differential gene expression analysis via two-component mixture models with a semiparametric skew-normal scale mixture alternative
por: Oh, Sangkon, et al.
Publicado: (2026)
por: Oh, Sangkon, et al.
Publicado: (2026)
Model-based clustering for covariance matrices via penalized Wishart mixture models
por: Cappozzo, Andrea, et al.
Publicado: (2024)
por: Cappozzo, Andrea, et al.
Publicado: (2024)
Exact conditional goodness-of-fit tests for the mixed membership stochastic block model
por: Majumdar, Sourav
Publicado: (2025)
por: Majumdar, Sourav
Publicado: (2025)
A Bayesian joint model for mediation analysis with matrix-valued mediators
por: Liu, Zijin, et al.
Publicado: (2023)
por: Liu, Zijin, et al.
Publicado: (2023)
Modelling multi-scale state-switching functional data with hidden Markov models
por: Sidrow, Evan, et al.
Publicado: (2021)
por: Sidrow, Evan, et al.
Publicado: (2021)
A right-truncated Poisson mixture model for analyzing count data
por: Koladjo, Babagnidé François, et al.
Publicado: (2025)
por: Koladjo, Babagnidé François, et al.
Publicado: (2025)
A general joint latent class model of longitudinal and survival data with the covariance modelling
por: Miao, Ruoyu, et al.
Publicado: (2025)
por: Miao, Ruoyu, et al.
Publicado: (2025)
Continuous mixtures of Gaussian processes as models for spatial extremes
por: Dell'Oro, Lorenzo, et al.
Publicado: (2026)
por: Dell'Oro, Lorenzo, et al.
Publicado: (2026)
Finite mixture copulas for modeling dependence in longitudinal count data
por: Chattopadhyay, Subhajit
Publicado: (2024)
por: Chattopadhyay, Subhajit
Publicado: (2024)
Deep mixture of linear mixed models for complex longitudinal data
por: Kock, Lucas, et al.
Publicado: (2023)
por: Kock, Lucas, et al.
Publicado: (2023)
The joint survival super learner: A super learner for right-censored data
por: Munch, Anders, et al.
Publicado: (2024)
por: Munch, Anders, et al.
Publicado: (2024)
Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identification
por: Hermansen, Tobias Østmo, et al.
Publicado: (2025)
por: Hermansen, Tobias Østmo, et al.
Publicado: (2025)
Ejemplares similares
-
A novel family of beta mixture models for the differential analysis of DNA methylation data: an application to prostate cancer
por: Majumdar, Koyel, et al.
Publicado: (2022) -
Gaussian copula correlation network analysis with application to multi-omics data
por: Tomilina, Ekaterina, et al.
Publicado: (2025) -
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images
por: Babu, Ganesh, et al.
Publicado: (2024) -
Missing data imputation using a truncated Gaussian infinite factor model with application to metabolomics data
por: Finucane, Kate, et al.
Publicado: (2024) -
Variational Inference for the Latent Shrinkage Position Model
por: Gwee, Xian Yao, et al.
Publicado: (2023)