Article

LSMMD-MA: Scaling multimodal data integration for single-cell genomics data analysis

2022-03-25

Abstract excerpt

<h4>Motivation</h4> Modality matching in single-cell omics data analysis—i.e., matching cells across data sets collected using different types of genomic assays—has become an important problem, because unifying perspectives across different technologies holds the promise of yielding biological and clinical discoveries. However, single-cell dataset sizes can now reach hundreds of thousands to millions of cells, wh...

Topics

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

Identifiers and source

Literature Corpus work: 94b65544-fa5b-5a1a-bcbf-e5912f1a7bfd
DOI: 10.1101/2022.03.23.485536

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

LSMMD-MA: Scaling multimodal data integration for single-cell genomics data analysisDOI 10.1101/2022.03.23.485536Read

Multimodal single cell data integration challenge: results and lessons learnedSemantic proximity Read

Computational principles and challenges in single-cell data integration.Semantic proximity Read

GLUER: integrative analysis of single-cell omics and imaging data by deep neural networkSemantic proximity Read

Unbiased integration of single cell multi-omics dataSemantic proximity Read

mosaicMPI: a framework for modular data integration across cohorts and -omics modalitiesSemantic proximity Read

Unbiased integration of single cell multi-omics dataSemantic proximity Read

Multi-omics integration and batch correction using a modality-agnostic deep learning frameworkSemantic proximity Read

Securing diagonal integration of multimodal single-cell data against ambiguous mappingSemantic proximity Read

Curated Single Cell Multimodal Landmark Datasets for R/BioconductorSemantic proximity Read

MultiMAP: Dimensionality Reduction and Integration of Multimodal DataSemantic proximity Read

CZ CELL×GENE Discover: A single-cell data platform for scalable exploration, analysis and modeling of aggregated dataSemantic proximity Read

Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding spaceSemantic proximity Read