Author

Matteo Marouf

University Medical Center Hamburg-EppendorfORCID 0000-0002-3877-7793Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:deconvolution· 1 Organism:human· 1 Assay:metagenomics· 1

Frequent Co-Authors

Daniel Sumner MagruderiD· 2 shared Stefan BonniD· 2 shared Anupriya DalmiaiD· 1 shared Christian F. KrebsiD· 1 shared Christoph KilianiD· 1 shared Karin KloiberiD· 1 shared Kevin MendeniD· 1 shared Peter HeutinkiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Daniel Sumner MagruderORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

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

Kevin Menden, Matteo Marouf, Sergio Oller, Anupriya Dalmia, Daniel Sumner Magruder, Karin Kloiber, Peter Heutink, 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.

Science Advances · Jul 22, 2020Peer-reviewedBioinformatics

Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks

Matteo Marouf, Pierre Machart, Vikas Bansal, Christoph Kilian, Daniel Sumner Magruder, Christian F. Krebs, Stefan Bonn

This paper introduces cscGANs for generating realistic single cell RNA-seq data to augment sparse datasets, improving analysis outcomes and reducing experimental costs.

Nature Communications · Jan 9, 2020Peer-reviewedBioinformatics