Author

David Gallego‐Ortega

University of Technology SydneyORCID 0000-0002-2347-7835Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Approach:benchmark study· 1 Research Focus:cancer & tumor microenvironment· 1

Frequent Co-Authors

Fátima Valdés‐MoraiD· 2 shared Abhishek VijayaniD· 1 shared Alexander SwarbrickiD· 1 shared Alexandra Zanin‐ZhoroviD· 1 shared Alice M. H. Tran· 1 shared Anaiis Zaratzian· 1 shared Andrew Da Silva· 1 shared Andrew M. K. LawiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersGenomics

Fátima Valdés‐MoraORCID

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Author profile →

3 papers

Recent·Most cited

ROCK2 inhibition has a dual role in reducing ECM remodelling and cell growth, while impairing migration and invasion

Daniel A. Reed, Anna E. Howell, Nadia Kuepper, Alice M. H. Tran, Astrid Magenau, Deborah Sim Barkauskas, Max Nobis, Cecilia R. Chambers, Victoria Lee, Lily M. Channon, Jessie Zhu, Shona Ritchie, Janett Stoehr, Kaitlin Wyllie, Julia Chen, , David Herrmann

This paper shows that ROCK2 inhibition reduces ECM remodelling and cell growth while impairing migration and invasion in breast cancer models.

bioRxiv · Jul 21, 2025 · PreprintCell Biology

Performance comparison of high throughput single-cell RNA-Seq platforms in complex tissues

Yolanda Colino‐Sanguino, Laura Rodríguez de la Fuente, Brian Gloss, Andrew M. K. Law, Kristina Handler, Marina Pajic, Robert Salomon, David Gallego‐Ortega, Fátima Valdés‐Mora

This study compares two scRNA-seq platforms, 10x Chromium and BD Rhapsody, in complex tissues, finding similar gene sensitivity but differences in mitochondrial content, cell type detection, and ambient noise sources.

Heliyon · Aug 30, 2024Peer-reviewedGenomics

Disentangling single-cell omics representation with a power spectral density-based feature extraction

Seid Miad Zandavi, Forrest C. Koch, Abhishek Vijayan, Fabio Zanini, Fátima Valdés‐Mora, David Gallego‐Ortega, Fatemeh Vafaee

This paper introduces scPSD, a pre-processing method that improves cell subtype separation in single-cell omics data by reducing complexity and enhancing cell-type discrimination.

Nucleic Acids Research · May 10, 2022Peer-reviewedBioinformatics