Article

Decoding Spatial Tissue Architecture: A Scalable Bayesian Topic Model for Multiplexed Imaging Analysis

2024-10-13

Abstract excerpt

Recent progress in multiplexed tissue imaging is advancing the study of tumor microenvironments to enhance our understanding of treatment response and disease progression. Cellular neighborhood analysis is a popular computational approach for these complex image data. Despite its popularity, there are significant challenges, including high computational demands that limit feasibility for largescale applications an...

Topics

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

Identifiers and source

Literature Corpus work: 3e8dd7c1-4005-597c-8ee1-9c9905a0e948
DOI: 10.1101/2024.10.08.617293

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Decoding Spatial Tissue Architecture: A Scalable Bayesian Topic Model for Multiplexed Imaging AnalysisDOI 10.1101/2024.10.08.617293Read

Learning single-cell spatial context through integrated spatial multiomics with CORALSemantic proximity Read

SpaTM: Topic Models for Inferring Spatially Informed Transcriptional ProgramsSemantic proximity Read

TopicVI: A Knowledge-guided deep interpretable model for resolving context-specific gene programsSemantic proximity Read

BayesTME: A unified statistical framework for spatial transcriptomicsSemantic proximity Read

Identification of interpretable clusters and associated signatures in breast cancer single cell data: a topic modeling approachSemantic proximity Read

HESTIA: Scalable Multimodal Integration of Histology and High-Resolution Spatial Transcriptomics for Robust Spatial Domain IdentificationSemantic proximity Read

Multi-Modal Disentanglement of Spatial Transcriptomics and Histopathology ImagingSemantic proximity Read

Pan-cancer virtual spatial transcriptomics from routine histology with PhoenixSemantic proximity Read

Deep topic modeling of spatial transcriptomics in the rheumatoid arthritis synovium identifies distinct classes of ectopic lymphoid structuresSemantic proximity Read

Monkeybread: A Python toolkit for the analysis of cellular niches in single-cell resolution spatial transcriptomics dataSemantic proximity Read

<i>mosna</i> reveals different types of cellular interactions predictive of response to immunotherapies and survival in cancerSemantic proximity Read

Spatial omics representation and functional tissue module inference using graph Fourier transformSemantic proximity Read