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scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
oleh: Katharina T. Schmid, Barbara Höllbacher, Cristiana Cruceanu, Anika Böttcher, Heiko Lickert, Elisabeth B. Binder, Fabian J. Theis, Matthias Heinig
Format: | Article |
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Diterbitkan: | Nature Portfolio 2021-11-01 |
Deskripsi
scRNASeq data is revolutionizing our understanding of biological systems, but is still expensive to generate. Here, the authors present a statistical framework that facilitates informed multi-sample experimental design to reduce unnecessary costs and maximize the utility of the generated data.