Copertina

Multi-View Orthogonal Projection Regression with Application in Multi-omics integration

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dai, Zongrui, Huang, Yvonne J., Li, Gen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

OCEAN: Flexible Feature Set Aggregation for Analysis of Multi-omics Data
di: Ebrahimpoor, Mitra, et al.
Pubblicazione: (2024)

Multi-Layer Kernel Machines: Fast and Optimal Nonparametric Regression with Uncertainty Quantification
di: Dai, Xiaowu, et al.
Pubblicazione: (2024)

Multi-transport Distributional Regression
di: Chen, Yuanying, et al.
Pubblicazione: (2026)

Multi-omics network reconstruction with collaborative graphical lasso
di: Albanese, Alessio, et al.
Pubblicazione: (2024)

Grouped Orthogonal Arrays and Their Applications
di: Chen, Guangzhou, et al.
Pubblicazione: (2025)

A New Regression Lens on Multi-Class Classification
di: Bing, Xin, et al.
Pubblicazione: (2024)

Latent Modularity in Multi-View Data
di: Cremaschi, Andrea, et al.
Pubblicazione: (2025)

Orthogonality conditions for convex regression
di: Dai, Sheng, et al.
Pubblicazione: (2025)

Multi-Task Learning for High-Dimensional Regression with Many Weak Instruments
di: Zhang, Di, et al.
Pubblicazione: (2025)

penalizedclr: an R package for penalized conditional logistic regression for integration of multiple omics layers
di: Djordjilović, Vera, et al.
Pubblicazione: (2024)

A Projection Approach to Local Regression with Variable-Dimension Covariates
di: Heiner, Matthew J., et al.
Pubblicazione: (2023)

Bayesian Semiparametric Orthogonal Tucker Factorized Mixed Models for Multi-dimensional Longitudinal Functional Data
di: Roy, Arkaprava, et al.
Pubblicazione: (2025)

Multi-Fidelity Quantile Regression
di: Liu, Yixiang, et al.
Pubblicazione: (2026)

Forward Regression via Gram-Schmidt Orthogonalization for Ultra-High Dimensional Linear Models
di: Chen, Jialuo, et al.
Pubblicazione: (2025)

spar: Sparse Projected Averaged Regression in R
di: Parzer, Roman, et al.
Pubblicazione: (2024)

Co-Clustering Multi-View Data Using the Latent Block Model
di: Tobin, Joshua, et al.
Pubblicazione: (2024)

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

Effect Identification and Unit Categorization in the Multi-Score Regression Discontinuity Design with Application to LED Manufacturing
di: Schwarz, Philipp Alexander, et al.
Pubblicazione: (2025)

Generalized Bayesian nonparametric clustering framework for high-dimensional spatial omics data
di: Zhu, Bencong, et al.
Pubblicazione: (2024)

MoSAIC: Multi-Resolution Spatial Regression Analysis of Cellular Colocalizations in Cancer Imaging
di: Aldous, Jessica, et al.
Pubblicazione: (2026)

Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
di: Lin, Ziqian, et al.
Pubblicazione: (2024)

Localized Conformal Multi-Quantile Regression
di: Lu, Yuan
Pubblicazione: (2024)

Conditional inference for high-dimensional multi-omics survival data
di: Zhang, Heyuan, et al.
Pubblicazione: (2025)

Effect Decomposition of Functional-Output Computer Experiments via Orthogonal Additive Gaussian Processes
di: Tan, Yu, et al.
Pubblicazione: (2025)

Circular Regression Trees and Forests with an Application to Probabilistic Wind Direction Forecasting
di: Lang, Moritz N., et al.
Pubblicazione: (2020)

Regularized Regression by Composition: Identifiability, Structured Penalization, and Statistical Guarantees for Multi-Flow Distributional Models
di: Kadhem, Safaa K.
Pubblicazione: (2026)

Protocols for Observational Studies: An Application to Regression Discontinuity Designs
di: Cattaneo, Matias D., et al.
Pubblicazione: (2024)

Gaussian copula correlation network analysis with application to multi-omics data
di: Tomilina, Ekaterina, et al.
Pubblicazione: (2025)

Pathway-based Bayesian factor models for 'omics data
di: Mauri, Lorenzo, et al.
Pubblicazione: (2026)

COWs and their Hybrids: A Statistical View of Custom Orthogonal Weights
di: Schafer, Chad, et al.
Pubblicazione: (2025)

Sparse and Orthogonal Low-rank Collective Matrix Factorization (solrCMF): Efficient data integration in flexible layouts
di: Held, Felix, et al.
Pubblicazione: (2024)

Robust Inference for Multiple Predictive Regressions with an Application on Bond Risk Premia
di: Liao, Xiaosai, et al.
Pubblicazione: (2024)

Multi-Group Quadratic Discriminant Analysis via Projection
di: Wang, Yuchao, et al.
Pubblicazione: (2026)

Variational Bayesian Logistic Tensor Regression with Application to Image Recognition
di: Jin, Yunzhi, et al.
Pubblicazione: (2025)

Scalable Gaussian Process Regression Via Median Posterior Inference for Estimating Multi-Pollutant Mixture Health Effects
di: Sonabend, Aaron, et al.
Pubblicazione: (2024)

Simulation-Based Inference via Regression Projection and Batched Discrepancies
di: Farahi, Arya, et al.
Pubblicazione: (2026)

Bayesian High-dimensional Linear Regression with Sparse Projection-posterior
di: Pal, Samhita, et al.
Pubblicazione: (2024)

Orthogonal Arrays: A Review
di: Lin, C. Devon, et al.
Pubblicazione: (2025)

Two Sample Testing for High-dimensional Functional Data: A Multi-resolution Projection Method
di: Wang, Shouxia, et al.
Pubblicazione: (2025)

Overfitting Reduction in Convex Regression
di: Liao, Zhiqiang, et al.
Pubblicazione: (2024)