NApy: efficient statistics in Python for large-scale heterogeneous data with enhanced support for missing data

Woller F, Arend L, Fuchsberger C, List M, Blumenthal DB (2025)

Publication Status: Published

Publication Type: Journal article, Original article

Publication year: 2025

Journal

GigaScience BioMed Central

Book Volume: 14

Article Number: giaf140

DOI: 10.1093/gigascience/giaf140

Authors with CRIS profile

Fabian Woller Professur für Biomedical Network Science David Blumenthal Professur für Biomedical Network Science

Involved external institutions

Technische Universität München (TUM) DE Germany (DE) Europäische Akademie Bozen - EURAC IT Italy (IT)

How to cite

APA:

Woller, F., Arend, L., Fuchsberger, C., List, M., & Blumenthal, D.B. (2025). NApy: efficient statistics in Python for large-scale heterogeneous data with enhanced support for missing data. GigaScience, 14. https://doi.org/10.1093/gigascience/giaf140

MLA:

Woller, Fabian, et al. "NApy: efficient statistics in Python for large-scale heterogeneous data with enhanced support for missing data." GigaScience 14 (2025).

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