Author

Marta Interlandi

University of MünsterORCID 0000-0002-6863-2552Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:batch correction / integration· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Organism:mouse· 1 Assay:scATAC-seq· 1

Frequent Co-Authors

Anna DaneseiD· 1 shared Daniel C. StrobliD· 1 shared Fabian Joachim TheisiD· 1 shared Kridsadakorn ChaichoompuiD· 1 shared Luke ZappiaiD· 1 shared M. F. Mueller· 1 shared Malte D. LueckeniD· 1 shared Maren BüttneriD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Anna DaneseORCID

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1 paper

Recent·Most cited

Benchmarking atlas-level data integration in single-cell genomics

Malte D. Luecken, Maren Büttner, Kridsadakorn Chaichoompu, Anna Danese, Marta Interlandi, M. F. Mueller, Daniel C. Strobl, Luke Zappia, Martin Dugas, Maria Colomé‐Tatché, Fabian Joachim Theis

BBKNN, Scanorama, and scVI lead complex scRNA-seq integration in a 38-setup, nine-task, 14-metric benchmark; highly variable gene selection helps, whereas scaling favors batch removal over bio-conservation.

Nature Methods · Dec 23, 2021Peer-reviewedBioinformatics✦ In-depth digest