Papers matching “single-cell spatial transcriptomics” 356
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Cytosplore-Transcriptomics: a scalable inter-active framework for single-cell RNA sequencing data analysis2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Tamim Abdelaal, Jeroen Eggermont, Thomas Höllt, Ahmed Essam Mahfouz, Marcel J. T. Reinders, Boudewijn P. F. Lelieveldt
2citations -
Data from "Single-cell integration and multi-modal profiling reveals phenotypes and spatial organization of neutrophils in colorectal cancer"0citations
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GraphComm: A Graph-based Deep Learning Method to Predict Cell-Cell Communication in single-cell RNAseq data2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Emily So, Sikander Hayat, Sisira Kadambat Nair, Bo Wang, Benjamin Haibe‐Kains
13citations -
Single-Cell Integration and Multi-Modal Profiling Reveals Phenotypes and Spatial Organization of Neutrophils in Colorectal Cancer2025 SSRN Electronic Journal preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Valentin Marteau, Niloofar Nemati, Kristina Handler, Deeksha Raju, Alexander Kirchmair, Dietmar Rieder, +37 more
0citations -
Encompassing view of spatial and single-cell RNA sequencing renews the role of the microvasculature in human atherosclerosis2024 Nature Cardiovascular Research article Immunology and Microbiology Atherosclerosis and Cardiovascular Diseases Open access
Tore Bleckwehl, Anne Babler, Merel Tebbens, Sidrah Maryam, Michael Nyberg, Markus Høybye Bosteen, +12 more
67citations -
Cytosplore-Transcriptomics: a scalable inter-active framework for single-cell RNA sequenc-ing data analysis2020 Zenodo (CERN European Organization for Nuclear Research) dataset Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Tamim Abdelaal, Jeroen Eggermont, Thomas Höllt, Ahmed Essam Mahfouz, Marcel J. T. Reinders, Boudewijn P. F. Lelieveldt
0citations -
Cytosplore-Transcriptomics: a scalable inter-active framework for single-cell RNA sequenc-ing data analysis2020 Zenodo (CERN European Organization for Nuclear Research) dataset Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Tamim Abdelaal, Jeroen Eggermont, Thomas Höllt, Ahmed Essam Mahfouz, Marcel J. T. Reinders, Boudewijn P. F. Lelieveldt
0citations -
Reference-based cell type matching of spatial transcriptomics data2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Yun Zhang, Jeremy A. Miller, Jeongbin Park, Boudewijn P. F. Lelieveldt, Brian Long, Tamim Abdelaal, +12 more
5citations -
Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brain2023 Scientific Reports article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Yun Zhang, Jeremy A. Miller, Jeongbin Park, Boudewijn P. F. Lelieveldt, Brian Long, Tamim Abdelaal, +12 more
20citations -
Experimental and computational technologies to dissect the kidney at the single-cell level2020 Nephrology Dialysis Transplantation article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Christoph Kuppe, Javier Perales-Patón, Julio Sáez-Rodríguez, Rafael Kramann
12citations -
Comparison of Resources and Methods to infer Cell-Cell Communication from Single-cell RNA Data2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Daniel Dimitrov, Dénes Türei, Charlotte Boys, James Shiniti Nagai, Ricardo O. Ramirez Flores, Hyojin Kim, +5 more
23citations -
Cell-cell Communication Inference from Single-cell RNA-Seq Data: a Comparison of Methods and Resources2021 Research Square preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Daniel Dimitrov, Dénes Türei, Charlotte Boys, James Shiniti Nagai, Ricardo Ramirez Flores, Hyojin Kim, +5 more
3citations -
Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data2022 Nature Communications article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access cited by 1 patent
Daniel Dimitrov, Dénes Türei, Martín Garrido‐Rodríguez, Paul L Burmedi, James Shiniti Nagai, Charlotte Boys, +7 more
670citations -
Multimodal single-cell analysis uncovers transcription factor networks underlying T-cell aging2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Mina Shaigan, Deepika Puri, Giulia Fornero, René Krüger, Mara Steiger, Hannes Klump, +4 more
0citations -
GraphComm predicts cell cell communication using a graph based deep learning method in single cell RNA sequencing data2025 Scientific Reports article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Emily So, Sikander Hayat, Sisira Kadambat Nair, Bo Wang, Benjamin Haibe‐Kains
6citations -
Defining the variety of cell types in developing and adult human kidneys by single-cell RNA sequencing2021 npj Regenerative Medicine article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Anika Schumacher, Maarten B. Rookmaaker, Jaap A. Joles, Rafael Kramann, Tri Quang Nguyen, Martijn van Griensven, +1 more
60citations -
Combi-Seq: Multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Lukas Mathur, Bence Szalai, Ramesh Utharala, Martine Ballinger, Jonathan J. M. Landry, Michaël Ryckelynck, +3 more
4citations -
A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing2021 Genome Research preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Brian D. Aevermann, Yun Zhang, Mark A. Novotny, Mohamed Keshk, Trygve E. Bakken, Jeremy A. Miller, +4 more
96citations