BiologyNature Communications
scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
K. T. Schmid, B. Höllbacher, et al.
Dive into the transformative world of single-cell RNA sequencing with scPower, a novel statistical framework that empowers researchers to optimize their multi-sample transcriptomic experiments. Developed by distinguished authors including Katharina T. Schmid and Fabian J. Theis, this tool offers invaluable insights for enhancing power analysis in transcriptomics, paving the way for groundbreaking discoveries in the field.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Medicine and Health
A single-cell transcriptomic atlas of exercise-induced anti-inflammatory and geroprotective effects across the body
S. Sun, S. Ma, et al.
Medicine and Health
Single-cell analysis of chromatin and expression reveals age- and sex-associated alterations in the human heart
D. F. Read, G. T. Booth, et al.
Medicine and Health
speedingCARs: accelerating the engineering of CAR T cells by signaling domain shuffling and single-cell sequencing
R. Castellanos-rueda, R. B. D. Roberto, et al.
Biology
Rapid prototyping and design of cybergenetic single-cell controllers
S. Kumar, M. Rullan, et al.

