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Florian Barkmann

Showing results (1-10 of 5) with videos related to

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Frontiers in Oncology|November 30, 2023
Superiorization of projection algorithms for linearly constrained inverse radiotherapy treatment planningFlorian Barkmann, Yair Censor, Niklas Wahl
Genome Research|February 18, 2026
Robust and efficient annotation of cell states through gene signature scoringLaure Ciernik, Agnieszka Kraft, Florian Barkmann, et al.
RNA (New York, N.Y.)|January 8, 2026
Representation learning of single-cell RNA-seq dataConstantin Ahlmann-Eltze, Florian Barkmann, Jan Lause, et al.
Cancer Research|November 13, 2025
CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic DataFlorian Barkmann, Josephine Yates, Paweł Czyż, et al.
NAR Genomics and Bioinformatics|June 19, 2023
scROSHI: robust supervised hierarchical identification of single cellsMichael Prummer, Anne Bertolini, Lars Bosshard, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Frontiers in Oncology|November 30, 2023
Superiorization of projection algorithms for linearly constrained inverse radiotherapy treatment planningFlorian Barkmann, Yair Censor, Niklas Wahl
Genome Research|February 18, 2026
Robust and efficient annotation of cell states through gene signature scoringLaure Ciernik, Agnieszka Kraft, Florian Barkmann, et al.
RNA (New York, N.Y.)|January 8, 2026
Representation learning of single-cell RNA-seq dataConstantin Ahlmann-Eltze, Florian Barkmann, Jan Lause, et al.
Cancer Research|November 13, 2025
CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic DataFlorian Barkmann, Josephine Yates, Paweł Czyż, et al.
NAR Genomics and Bioinformatics|June 19, 2023
scROSHI: robust supervised hierarchical identification of single cellsMichael Prummer, Anne Bertolini, Lars Bosshard, et al.
Pageof 1