Author

Sergio Oller

University Medical Center Hamburg-EppendorfORCID 0000-0002-8994-1549Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Assay:metagenomics· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1

Frequent Co-Authors

Stefan BonniD· 2 shared Antonia Franziska DemleitneriD· 1 shared Anupriya DalmiaiD· 1 shared Christine CarapitoiD· 1 shared Claudia DufkeiD· 1 shared Constantin Holzapfel· 1 shared Daniel Sumner MagruderiD· 1 shared Dieter EdbaueriD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersNeuroscience

Stefan BonnORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintAug 14, 2023

Multiomic ALS signatures highlight sex differences and molecular subclusters and identify the MAPK pathway as therapeutic target

Lucas Caldi Gomes, Sonja Hänzelmann, Fabian Hausmann…·Paul Lingor

The paper performs a multiomic analysis of ALS patients and mouse models to identify sex differences, molecular subclusters, and the MAPK pathway as a therapeutic target.

3 citations

humanmouse

𝕏 PostBluesky

BioinformaticsScience AdvancesPeer-reviewedJul 22, 2020

Deep-learning-based cell composition analysis from tissue expression profiles.

Kevin Menden, Matteo Marouf, Sergio Oller…·Stefan Bonn

Scaden is a deep learning model for cell deconvolution that outperforms existing methods and works across bulk RNA-seq, microarray, and human/mouse tissue data.

268 citationstop 1%

humanmouse

𝕏 PostBluesky