Author

C. Do

University of Freiburg

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:bulk RNA-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Heguy· 1 shared A. Tsirigos· 1 shared Bernhard NebeliD· 1 shared D. Dimartino· 1 shared Daniel Kuhner· 1 shared Felix Burget· 1 shared G. Cova· 1 shared G. Jiang· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

A. Heguy

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

MethNet: a robust approach to identify regulatory hubs and their distal targets in cancer

T. Sakellaropoulos, C. Do, G. Jiang, G. Cova, P. Meyn, D. Dimartino, S. Ramaswami, A. Heguy, A. Tsirigos, J. A. Skok

MethNet identifies regulatory hubs and their distal targets in cancer by integrating DNA methylation and gene expression data to uncover cis regulatory elements linked to patient survival.

bioRxiv · Jul 7, 2023 · PreprintCancer Biology

Deep Learning Based BCI Control of a Robotic Service Assistant Using Intelligent Goal Formulation

Daniel Kuhner, Lukas D. J. Fiederer, Johannes Aldinger, Felix Burget, M. Völker, Robin Tibor Schirrmeister, C. Do, Joschka Bödecker, Bernhard Nebel, Tonio Ball A, Wolfram Burgard

This paper presents a BCI system that enables paralyzed users to control a robotic assistant using thoughts, demonstrating adaptability and task completion in real-world scenarios.

bioRxiv · Mar 26, 2018 · PreprintNeuroscience