Enabling single-cell trajectory network enrichment
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
http://www.nature.com/articles/s43588-021-00025-y.pdf
Reference53 articles.
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3. Kiselev, V. Y., Andrews, T. S. & Hemberg, M. Challenges in unsupervised clustering of single-cell RNA-seq data. Nat. Rev. Genet. https://doi.org/10.1038/s41576-018-0088-9 (2019).
4. Haghverdi, L., Buettner, F. & Theis, F. J. Diffusion maps for high-dimensional single-cell analysis of differentiation data. Bioinformatics https://doi.org/10.1093/bioinformatics/btv325 (2015).
5. Tritschler, S. et al. Concepts and limitations for learning developmental trajectories from single cell genomics. Development https://doi.org/10.1242/dev.170506 (2019).
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