Author

Nadia Anastasi

F. Hoffmann-La Roche AG

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

Biology Disciplines

Click to filter author papers

Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Andreas R. HierlemanniD· 1 shared Christian DonneriD· 1 shared Damian RoqueiroiD· 1 shared Fiscella Michele· 1 shared Gustavo Prack· 1 shared Karsten Michael BorgwardtiD· 1 shared Manuel S. SchröteriD· 1 shared Philipp HornaueriD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

1 shared paperNeuroscience

Andreas R. HierlemannORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Downregulating α-synuclein in iPSC-derived dopaminergic neurons mimics electrophysiological phenotype of the A53T mutation

Philipp Hornauer, Gustavo Prack, Nadia Anastasi, Silvia Ronchi, Taehoon Kim, Christian Donner, Fiscella Michele, Karsten Michael Borgwardt, Verdon Taylor, Ravi Jagasia, Damian Roqueiro, Andreas R. Hierlemann, Manuel S. Schröter

The paper introduces DeePhys, a tool for functional phenotyping of neurons using electrophysiological data, and shows it can predict genotype and age in iPSC-derived DA neurons with the A53T SNCA mutation.

bioRxiv · Mar 31, 2022 · PreprintNeuroscience