Author

David Bushiri

Leibniz-Forschungsinstitut für Molekulare PharmakologieORCID 0000-0002-4942-757XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

Carsten Jörn BeeseiD· 1 shared Christopher SchmiediD· 1 shared Han SuniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Carsten Jörn BeeseORCID

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1 paper

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedJan 6, 2025

Semi-supervised Contrastive Learning for Bioactivity Prediction using Cell Painting Image Data

David Bushiri, Carsten Jörn Beese, Christopher Schmied, Han Sun

This paper introduces a semi-supervised contrastive learning method for bioactivity prediction from Cell Painting image data, improving classification of pharmacological classifications and biological targets.

3 citations

imagingcontrastive learning

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