Integration of spatial and single|cell data across modalities with ...

Integration of spatial and single-cell data across modalities with ...

Although single-cell and spatial sequencing methods enable simultaneous measurement of more than one biological modality, no technology can ...

Integration of spatial and single-cell data across modalities with ...

Although single-cell and spatial sequencing methods enable simultaneous measurement of more than one biological modality, no technology can capture all ...

Integration of spatial and single-cell data across modalities ... - NCBI

MaxFuse is modality-agnostic and, through comprehensive benchmarks on single-cell and spatial ground-truth multiome datasets, demonstrates high robustness and ...

Integration of spatial and single-cell data across modalities with ...

MaxFuse starts by denoising the linked features in each modality through borrowing information from all of the features, and then performs an ...

Integration of spatial and single-cell data across modalities with ...

This study looks at current data integration methods, the feasibility of cross-modal integration and signal distortion and restoration.

MaxFuse enables data integration across weakly linked spatial and ...

Data integration tools for single-cell modalities have garnered considerable attention in recent years owing to rapid advancements in technology ...

Integration of spatial and single-cell data across modalities with ...

Request PDF | Integration of spatial and single-cell data across modalities with weak linkage | Single-cell sequencing methods have enabled the profiling of ...

(PDF) Integration of spatial and single-cell data across modalities ...

... MaxFuse was a cross-modal integration method that effectively integrates features from different data modalities with weak feature links ...

Visualising integrated single cell and spatial transcriptomic datasets

Spatial transcriptomics is a cutting-edge field that has revolutionised our understanding of biological systems by integrating spatial ...

Integration of spatial and single-cell data across modalities ... - OUCI

AbstractAlthough single-cell and spatial sequencing methods enable simultaneous measurement of more than one biological modality, no technology can capture ...

Comprehensive Integration of Single-Cell Data

As new methods arise to measure distinct cellular modalities, a key analytical challenge is to integrate these datasets to better understand cellular identity ...

Benchmarking spatial and single-cell transcriptomics integration ...

Spatial transcriptomics approaches have substantially advanced our capacity to detect the spatial distribution of RNA transcripts in tissues, yet it remains ...

Integration of Computational Analysis and Spatial Transcriptomics in ...

Here, we review the technical attributes of single-cell RNA sequencing and spatial transcriptomics, and the core concepts of computational data analysis. We ...

Matching single cells across modalities with contrastive learning and ...

Modality matching task in single-cell data integration. Given n single-cell profiles of two omic modalities (here, chromatin ...

New horizons in the stormy sea of multimodal single-cell data ...

Each modality is directly connected when measured simultaneously in the same cells (i), requiring no vertical integration. These are anchor ...

Integrating scRNA-seq and scATAC-seq data - Satija Lab

As new methods arise to measure distinct cellular modalities, a key analytical challenge is to integrate these datasets to better understand ...

Computational Methods for Single-Cell and Spatial Multimodal Data ...

The published single-cell data integration approaches are not designed for integration of multiple modalities or not scalable to massive ...

Multimodal deep learning approaches for single-cell multi-omics ...

Abstract. Integrating single-cell multi-omics data is a challenging task that has led to new insights into complex cellular systems.

Integrating Single Cell and Visium Spatial Gene Expression Data

Solution: With their complementary strengths these data types are a prime target for integration. The current computational tools for single cell and Visium ...

Best Practices for Single-Cell Analysis Across Modalities - Elveflow

This review outlines best practices for the comprehensive analysis of single-cell data across different modalities, providing guidance on ...