Article

Amortized Variational Inference for Scalable Bayesian Tensor Factorization in Spatial Transcriptomics

2026-05-06

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> Spatial transcriptomics and single-cell RNA-sequencing (scRNA-seq) provide unprecedented insights into the spatial morphologies of latent biological pathways. While Bayesian Tensor Factorization (e.g., CANDECOMP/PARAFAC) offers a rigorous probabilistic framework to deconvolve these pathways and quantify inherent biological noise, traditional inference methods...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c03af740-da44-5807-8018-dfa6e1b268f7
DOI: 10.21203/rs.3.rs-9607552/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Amortized Variational Inference for Scalable Bayesian Tensor Factorization in Spatial TranscriptomicsDOI 10.21203/rs.3.rs-9607552/v1Read

spOT-NMF: Optimal Transport-Based Matrix Factorization for Accurate Deconvolution of Spatial TranscriptomicsSemantic proximity Read

Reconstructing True 3D Spatial Omics at Single-Cell ResolutionSemantic proximity Read

Scalable probabilistic matrix factorization for single-cell RNA-seq analysisSemantic proximity Read

Model-based inference of RNA velocity modules improves cell fate predictionSemantic proximity Read

Scalable multi-group nonnegative spatial factorization for spatial genomics data with cell-type heterogeneitySemantic proximity Read

Signal Strength Aware Latent Spaces Reveal Molecularly Distinct Substructures within Human Kidney TissueSemantic proximity Read

Decoding Spatial Programs in Human Glioblastoma Through Surprisal Information-Theoretical AnalysisSemantic proximity Read

Low-rank tensor methods for Markov chains with applications to tumor progression models.Semantic proximity Read

Four-Dimensional Sparse Bayesian Tensor Decomposition for Gene Expression DataSemantic proximity Read

Integrative, high-resolution analysis of single cell gene expression across experimental conditions with PARAFAC2-RISESemantic proximity Read

Joint Trajectory Inference for Single-cell Genomics Using Deep Learning with a Mixture PriorSemantic proximity Read

Generative Augmentation Reveals Previously Overlooked Signals in Transcriptomic DatasetsSemantic proximity Read