Image de couverture de livre

Annealed variational mixtures for disease subtyping and biomarker discovery

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Prevot, Emma, Toogood, Rory, Pagani, Filippo, Kirk, Paul D. W.
Format:	Preprint
Publié:	2024
Sujets:	Computation Applications
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

How reproducible are data-driven subtypes of Alzheimer's disease atrophy?
par: Prevot, Emma, et autres
Publié: (2024)

A hierarchical modelling approach for Bayesian Causal Forests on longitudinal data: A Case Study in Multiple Sclerosis Clinical Trials
par: Prevot, Emma, et autres
Publié: (2025)

Methods and clinical biomarker discovery for targeted proteomics using Olink technology
par: Han Wang, et autres
Publié: (2024)

Dynamic causal discovery in Alzheimer's disease through latent pseudotime modelling
par: Glazman, Natalia, et autres
Publié: (2025)

When to repeat a biomarker test? Decomposing sources of variation from conditionally repeated measurements
par: Manathunga, Supun, et autres
Publié: (2026)

Enhancing parameter estimation in finite mixture of generalized normal distributions
par: Duttilo, Pierdomenico, et autres
Publié: (2024)

Continuous Gaussian mixture solution for linear Bayesian inversion with application to Laplace priors
par: Flock, Rafael, et autres
Publié: (2024)

A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
par: Morsomme, Raphael, et autres
Publié: (2024)

Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption
par: Cattaneo, Matias D., et autres
Publié: (2022)

Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer
par: Rønneberg, Leiv, et autres
Publié: (2024)

Testing for racial bias using inconsistent perceptions of race
par: Gera, Nora, et autres
Publié: (2024)

Bayesian shape-constrained regression for quantifying Alzheimer's disease biomarker progression
par: Li, Mingyuan, et autres
Publié: (2025)

Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles
par: Szwagier, Tom, et autres
Publié: (2025)

Local graph estimation with pathwise false discovery control
par: Melikechi, Omar, et autres
Publié: (2025)

A Detailed Historical and Statistical Analysis of the Influence of Hardware Artifacts on SPEC Integer Benchmark Performance
par: Wang, Yueyao, et autres
Publié: (2024)

Trajectory-informed graph-based clustering for longitudinal cancer subtyping
par: Cavinato, Lara, et autres
Publié: (2026)

A spatial mixture model for spaceborne lidar observations over mixed forest and non-forest land types
par: May, Paul B., et autres
Publié: (2024)

Poisson multi-Bernoulli mixture filter for trajectory measurements
par: Fontana, Marco, et autres
Publié: (2025)

A comprehensive study on causal discovery between degradation paths
par: Chen, Shi-Shun, et autres
Publié: (2026)

The Computer‐Assisted Sequence Annotation (CASA) workflow for enzyme discovery
par: Gemma R. Takahashi, et autres
Publié: (2025)

Spatial Extremes at Scale: A Case Study of Surface Skin Temperature and Heat Risk in the United States
par: Lee, Ben Seiyon, et autres
Publié: (2026)

A censored mixture model for modeling risk taking
par: Dijkstra, Nienke F. S., et autres
Publié: (2020)

Outcome-guided spike-and-slab Lasso Biclustering: A Novel Approach for Enhancing Biclustering Techniques for Gene Expression Analysis
par: Vargas-Mieles, Luis A., et autres
Publié: (2024)

Leveraging Covariates in Regression Discontinuity Designs
par: Cattaneo, Matias D., et autres
Publié: (2025)

Estimating the Heritability of Longitudinal Rate-of-Change: Genetic Insights into PSA Velocity in Prostate Cancer-Free Individuals
par: Zhang, Pei, et autres
Publié: (2025)

Bayesian sample size calculations for external validation studies of risk prediction models
par: Sadatsafavi, Mohsen, et autres
Publié: (2025)

Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
par: Yu, Tonghui, et autres
Publié: (2026)

Network knockoffs: controlling false discovery in dyadic space
par: Van Ee, Justin, et autres
Publié: (2026)

Low-rank longitudinal factor regression with application to chemical mixtures
par: Palmer, Glenn, et autres
Publié: (2023)

Fast Computer Model Calibration using Annealed and Transformed Variational Inference
par: Cho, Dongkyu Derek, et autres
Publié: (2022)

Bayesian estimation of finite mixtures of Tobit models
par: Waisman, Caio
Publié: (2024)

A network psychometric analysis of maths anxiety factors in Italian psychology students
par: Franchino, Emma, et autres
Publié: (2025)

Bayesian semiparametric modelling of biomarker variability in joint models
par: Chen, Sida, et autres
Publié: (2025)

Nonparametric IPSS: Fast, flexible feature selection with false discovery control
par: Melikechi, Omar, et autres
Publié: (2024)

A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing
par: Agostini, Gabriel, et autres
Publié: (2023)

Charting the course for new discoveries in polyploid lineages
par: Michael R. McKain, et autres
Publié: (2024)

Alzheimer's Clinical Research Data via R Packages: the alzverse
par: Donohue, Michael C., et autres
Publié: (2025)

Predicting COVID-19 hospitalisation using a mixture of Bayesian predictive syntheses
par: Kobayashi, Genya, et autres
Publié: (2023)

Topic-informed dynamic mixture model for occupational heterogeneity in health risk behaviors
par: Schiavon, Lorenzo, et autres
Publié: (2025)

A Bayesian multivariate extreme value mixture model
par: Hu, Chenglei, et autres
Publié: (2024)