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

BioinformaticsbioRxivPreprintNov 6, 2024

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

Daria Doncevic, Carlos Ramirez Alvarez, Albert Li…·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.

DOI 10.1101/2024.11.06.622202

mousescRNA-seq

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