Cover Image

Sparse Reduced-rank Regression Methods for Spatially Misaligned Data with Application to Spatial Transcriptomics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Zitian, Datta, Susmita, Roy, Arkaprava
Format:	Preprint
Published:	2026
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spatial von-Mises Fisher Regression for Directional Data
by: Lan, Zhou, et al.
Published: (2022)

Linked-Tucker Factorized Individualized Regression for Paired Multivariate Categorical Outcomes
by: Roy, Arkaprava, et al.
Published: (2026)

Multi-resolution Spatial Graphical Regression Models for Hierarchical Spatial Transcriptomics Data
by: Chen, Liying, et al.
Published: (2026)

Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
by: Sottosanti, Andrea, et al.
Published: (2025)

Community Detection Analysis of Spatial Transcriptomics Data
by: Zhao, Charles
Published: (2025)

Imaging Genetics Analysis of Alzheimer's Disease
by: Basu, Riddhik, et al.
Published: (2025)

Nonparametric Bayesian Multi-Treatment Mixture Cure Survival Model with Application in Pediatric Oncology
by: Chang, Peter, et al.
Published: (2025)

Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
by: Pan, Soumyakanti, et al.
Published: (2025)

TransST: Transfer Learning Embedded Spatial Factor Modeling of Spatial Transcriptomics Data
by: Liu, Shuo Shuo, et al.
Published: (2025)

Nonparametric Modeling of Diffusion MRI Signal in Q-space
by: Roy, Arkaprava, et al.
Published: (2023)

Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons
by: Chang, Peter, et al.
Published: (2024)

Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes
by: Ghosh, Shuvrarghya, et al.
Published: (2025)

Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
by: Pintado, Maria F., et al.
Published: (2023)

Adaptive Block-Based Change-Point Detection for Sparse Spatially Clustered Data with Applications in Remote Sensing Imaging
by: Moore, Alan, et al.
Published: (2025)

Evaluating Multilevel Regression and Poststratification with Spatial Priors with a Big Data Behavioural Survey
by: Sutton, Aja, et al.
Published: (2025)

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models
by: Tsao, Valerie, et al.
Published: (2025)

AI-driven 3D Spatial Transcriptomics
by: Almagro-Pérez, Cristina, et al.
Published: (2025)

A General Method for Resampling Autocorrelated Spatial Data
by: Arthur, Rudy
Published: (2024)

Spatially Structured Regression for Non-conformable Spaces: Integrating Pathology Imaging and Genomics Data in Cancer
by: Osher, Nathaniel, et al.
Published: (2024)

High-dimensional Bayesian Model for Disease-Specific Gene Detection in Spatial Transcriptomics
by: Zhao, Qicheng, et al.
Published: (2024)

Bayesian Sparse Regression for Microbiome-Metabolite Data Integration
by: Jiang, Kai, et al.
Published: (2026)

JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
by: Dey, Pritam, et al.
Published: (2026)

Estimation of Piecewise Continuous Regression Function in Finite Dimension using Oblique Regression Tree with Applications in Image Denoising
by: Basak, Subhasish, et al.
Published: (2025)

Modeling Spatially Correlated Failure-time Data Under Two Distance Functions with an Application to Titan GPU Data
by: Clark, Jared M., et al.
Published: (2025)

Orthogonalized Kernel Regression for Spatial and Spatio-Temporal Residual Risk: Application to School Shootings in the Contiguous United States
by: Davies, Tilman M., et al.
Published: (2026)

Gimbal Regression: Orientation-Adaptive Local Linear Regression under Spatial Heterogeneity
by: Otani, Yuichiro
Published: (2026)

Incorporating Correlated Nugget Effects in Multivariate Spatial Models: An Application to Argo Ocean Data
by: Saduakhas, Damilya, et al.
Published: (2025)

Bayesian Hierarchical Modeling for Bivariate Multiscale Spatial Data with Application to Blood Test Monitoring
by: Zhou, Shijie, et al.
Published: (2023)

Investigating Spatial Error Structures in Continuous Raster Data
by: Tsutsumida, Narumasa, et al.
Published: (2018)

Spherical Spatial Autoregressive Model for Spherically Embedded Spatial Data
by: Xu, Jiazhen, et al.
Published: (2026)

Bayesian Spatially Clustered Compositional Regression: Linking intersectoral GDP contributions to Gini Coefficients
by: Meng, Jingcheng, et al.
Published: (2024)

Learning about Spatial and Temporal Proximity using Tree-Based Methods
by: Levin, Ines
Published: (2024)

Spatial Analysis for AI-segmented Histopathology Images: Methods and Implementation
by: Park, Yoolkyu, et al.
Published: (2025)

Spatial Joint Species N-Mixture Models for Multi-Source Observational Data with Application to Wild Deer Population Abundance
by: Hurley, Aoife K., et al.
Published: (2023)

Spatial Hyperspheric Models for Compositional Data
by: Schwob, Michael R., et al.
Published: (2024)

Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
by: Zhu, Zihan, et al.
Published: (2026)

Understanding Spatial Regression Models from a Weighting Perspective in an Observational Study of Superfund Remediation
by: Woodward, Sophie M., et al.
Published: (2025)

A Partitioned Sparse Variational Gaussian Process for Fast, Distributed Spatial Modeling
by: Grosskopf, Michael, et al.
Published: (2025)

Bayesian Variable Selection for Censored Spatial Responses with Application to PFAS Concentrations in California
by: Majumder, Suman, et al.
Published: (2025)

Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data
by: Jin, Bora, et al.
Published: (2022)