Author

Natascha Santacroce

ETH Zurich

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

Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:variant calling· 1 Organism:virus· 1

Frequent Co-Authors

Christian BeiseliD· 3 shared Jack KuipersiD· 3 shared Katharina JahniD· 3 shared Niko BeerenwinkeliD· 3 shared Pedro FerreiraiD· 3 shared Tobias Schär· 3 shared Abdullah KahramaniD· 2 shared Alva Rani JamesiD· 2 shared

Activity by Year

2020-2022 · peak 2/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

3 shared papersBioinformatics

Christian BeiselORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

scROSHI - robust supervised hierarchical identification of single cells

Michael Prummer, Anne Bertolini, Lars Bosshard, Florian Barkmann, Josephine Yates, Valentina Boeva, Ruedi H. Aebersold, Melike Ak, Faisal Alquaddoomi, Jonas B. Albinus, Ilaria Alborelli, Sonali Andani, Per-Olof Attinger, Marina Bacac, Daniel Baumhoer, , Berend Snijder

scROSHI identifies cell types without training data by using pre-existing gene sets and hierarchical relationships, outperforming methods in low-data and high-diversity scenarios.

NAR Genomics and Bioinformatics · Jun 1, 2022Peer-reviewedBioinformatics

Within-patient genetic diversity of SARS-CoV-2

Jack Kuipers, Aashil A. Batavia, Kim Philipp Jablonski, Fritz Bayer, Nico Borgsmüller, Arthur Dondi, Monica-Andreea Baciu-Drăgan, Pedro Ferreira, Katharina Jahn, Lisa Lamberti, Martin Pirkl, Susana Posada-Céspedes, Ivan Topolsky, Ina Nissen, Natascha Santacroce, , Niko Beerenwinkel

The paper examines SARS-CoV-2 genetic diversity within individual patients, finding that a small number of patients carry most of the diversity and that older patients tend to have more diverse viral variants.

bioRxiv · Oct 12, 2020 · PreprintGenomics

SCIM: Universal Single-Cell Matching with Unpaired Feature Sets

Stefan G. Stark, Joanna Ficek, Francesco Locatello, Ximena Bonilla, Stéphane Chevrier, Franziska Singer, Ruedi H. Aebersold, Faisal Alquaddoomi, Jonas B. Albinus, Ilaria Alborelli, Sonali Andani, Per-Olof Attinger, Marina Bacac, Daniel Baumhoer, Beatrice Beck‐Schimmer, , Vipin T. Sreedharan

SCIM matches single-cell measurements across technologies by learning a technology-invariant latent space and applying bipartite matching, achieving high accuracy in real-world datasets.

Bioinformatics · Sep 14, 2020Peer-reviewedBioinformatics