Systematic evaluation of single-cell multimodal data integration enhances cell type resolution and discovery of clinically relevant states in complex tissues

Our work establishes a robust framework for multimodal reference atlas generation, advancing single-cell analysis and extending its applicability to diverse tissues.

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Publication Details

Journal
Genome biology
Published
2026-03-12
DOI
https://doi.org/10.1186/s13059-026-04002-4
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Systematic evaluation of single-cell multimodal data integration enhances cell type resolution and discovery of clinically relevant states in complex tissues

Christopher Lund O'Connor, Beate Vieth, Ernest Fraenkel, Yoshinari Ando et al.
Genome biology
Single-cell and spatial transcriptomics
article

Systematic evaluation of single-cell multimodal data integration enhances cell type resolution and discovery of clinically relevant states in complex tissues

Christopher Lund O'Connor, Beate Vieth, Ernest Fraenkel, Yoshinari Ando, Jiawen Li, Elisabetta Mereu, Rajasree Menon, Mario Acera-Mateos, Irene Claes, Matthias Kretzler, Miki Kojima, Domenica Marchese, Thierry Voet, Prabha Tiwari, Chung-Chau Hon, Katy Vandereyken, Ginevra Caratù, Piero Carninci, Edgar A. Otto, Xian Adiconis, Holger Heyn, Sean K. Simmons, Wolfgang Enard, Markus Bitzer, Thomas Lefevre, Joshua Z. Levin, Michael A. Murphy
article en

Abstract

Our work establishes a robust framework for multimodal reference atlas generation, advancing single-cell analysis and extending its applicability to diverse tissues.

Genome biologyVol. 27(1)
Broad Institute (US), Institució Catalana de Recerca i Estudis Avançats (ES), University of Michigan (US), New York University Press (US), Josep Carreras Leukaemia Research Institute (ES), Center for Human Genetics (US), Human Technopole (IT), Centro Nacional de Análisis Genómico (ES), RIKEN Center for Integrative Medical Sciences (JP), Massachusetts Institute of Technology (US), Universitat de Barcelona (ES), Ludwig-Maximilians-Universität München (DE), KU Leuven (BE)
Broad Institute, Deutsche Forschungsgemeinschaft, Ministry of Education, Culture, Sports, Science and Technology, Fonds Wetenschappelijk Onderzoek, KU Leuven, Vlaamse regering, Klarman Cell Observatory, Broad Institute, Natural Sciences and Engineering Research Council of Canada, Agència de Gestió d'Ajuts Universitaris i de Recerca, RIKEN
Openalex Percentile: Top 25%
Single-cell and spatial transcriptomics
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