Author

Jose Ignacio Alvira Larizgoitia

KU LeuvenORCID 0000-0001-7158-4128Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:batch correction / integration· 1 Approach:deep learning· 1 Organism:human· 1 Organism:mouse· 1 Assay:multiome· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Alejandro SifrimiD· 2 shared D. J. WoutersiD· 2 shared Katy VandereykeniD· 2 shared Thierry VoetiD· 2 shared Andreas E. MooriD· 1 shared Anis IsmailiD· 1 shared Bernard ThienpontiD· 1 shared Ceyhun AlariD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

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10 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Alejandro SifrimORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 30, 2026

SubCellSpace: Automated characterization of subcellular mRNA localization patterns in spatial transcriptomics

D. J. Wouters, Jose Ignacio Alvira Larizgoitia, Nynke Tilkema…·Alejandro Sifrim

SubCellSpace identifies and characterizes subcellular mRNA localization patterns in spatial transcriptomics data using a computational framework.

DOI 10.64898/2026.04.28.720613

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 21, 2025

Multi-omics integration and batch correction using a modality-agnostic deep learning framework

Jose Ignacio Alvira Larizgoitia, Gabriele Partel, Lorenzo Venturelli…·Alejandro Sifrim

This paper introduces MIMA, a deep learning framework for multi-omics integration and batch correction, which effectively removes batch effects and preserves biological information across modalities.

1 citation

multiomedeep learning

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