Author

Carlos Ramirez Alvarez

Heidelberg UniversityORCID 0000-0002-7335-8447Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Adrian BachmanniD· 1 shared Albert LiiD· 1 shared Carl HerrmanniD· 1 shared Daria DonceviciD· 1 shared Kasimir Noack· 1 shared Youcheng ZhangiD· 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

Adrian BachmannORCID

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1 paper

Recent·Most cited

Prediction of context-specific regulatory programs and pathways using interpretable deep learning

Daria Doncevic, Carlos Ramirez Alvarez, Albert Li, Youcheng Zhang, Adrian Bachmann, Kasimir Noack, Carl Herrmann

The paper introduces COBRA, an interpretable deep learning model for scRNA-seq data that disentangles covariate effects, and demonstrates its application on interferon-stimulated mouse datasets.

bioRxiv · Nov 6, 2024 · PreprintBioinformatics