Author

Julian Ostermaier

Inserm

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Daniel Herrero-SaboyaiD· 1 shared Emmanuel BarillotiD· 1 shared Jacqueline FontugneiD· 1 shared Loïc ChadoutaudiD· 1 shared Marvin LerousseauiD· 1 shared Thomas WalteriD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Daniel Herrero-SaboyaORCID

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1 paper

Recent·Most cited

sCellST: a Multiple Instance Learning approach to predict single-cell gene expression from H&E images using spatial transcriptomics

Loïc Chadoutaud, Marvin Lerousseau, Daniel Herrero-Saboya, Julian Ostermaier, Jacqueline Fontugne, Emmanuel Barillot, Thomas Walter

sCellST predicts single-cell gene expression from H&E images using spatial transcriptomics data, outperforming traditional methods in pancreatic cancer and detecting morphological differences in ovarian cancer.

bioRxiv · Nov 7, 2024 · PreprintBioinformatics