Author

Mauricio A. Álvarez

University of ManchesterORCID 0000-0002-8980-4472Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:spatial transcriptomics· 2 Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Research Focus:deconvolution· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Andrew P. GilmoreiD· 2 shared Haiping LiuiD· 2 shared Hongpeng ZhouiD· 2 shared Magnus RattrayiD· 2 shared Qian ZhaoiD· 2 shared Alejandro Federico FrangiiD· 1 shared Alexander R. BakeriD· 1 shared Ali Al-Anbaki· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Andrew P. GilmoreORCID

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3 papers

Recent·Most cited

NexuST: A Hierarchical Foundation Model for Spatial Transcriptomics

Haiping Liu, Qian Zhao, Lijing Lin A, Zhiyong Zou, Wenhao Cai, Jingyuan Sun, Yuxi Zhou, Mauricio A. Álvarez, Andrew P. Gilmore, Magnus Rattray, Alejandro Federico Frangi, Hongpeng Zhou

NexuST is a hierarchical foundation model for spatial transcriptomics that improves cell-type annotation and spatial prediction by integrating gene-level and cell-level modeling.

bioRxiv · Sep 28, 2026 · PreprintBioinformatics

Proteomics-constrained deconvolution reveals spatial cell-type programs in tumours

Esra Büşra Işık, Michael Haley, Ali Al-Anbaki, Leoma D. Bere, Federico Roncaroli, Karen Piper Hanley, Kevin N. Couper, David C. Wedge, Robert Sellers, Alexander R. Baker, Pedro Oliveira, Jack Ashton, Robert Glen Bristow, Mauricio A. Álvarez, Sokratia Georgaka, Magnus Rattray

PISTACHIO improves spatial cell-type deconvolution in tumours using proteomics constraints and non-negative matrix factorization.

bioRxiv · Jun 22, 2026 · PreprintBioinformatics

BioBatchNet: A Dual-Encoder Framework for Robust Batch Effect Correction in Imaging Mass Cytometry

Haiping Liu, Shao-Jie Zhang, Shengzhong Mao, Qian Zhao, Yuxi Zhou, Andrew P. Gilmore, Mauricio A. Álvarez, Hongpeng Zhou

BioBatchNet corrects batch effects in imaging mass cytometry data using a dual-encoder framework, outperforming existing methods and showing generalizability to scRNA-seq data.

bioRxiv · Mar 15, 2025 · PreprintBioinformatics