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Supporting information
S1 Text. Supplementary text.
Supplemental text giving a more detailed description of the RSEC framework and its implementation, as well as information about the analysis of the datasets.
https://doi.org/10.1371/journal.pcbi.1006727.s001
(PDF)
Reference
- 1. Risso D, Purvis L, Fletcher RB, Das D, Ngai J, Dudoit S, et al. (2018) clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets. PLoS Comput Biol 14(9): e1006378. https://doi.org/10.1371/journal.pcbi.1006378 pmid:30180157
Citation: The PLOS Computational Biology Staff (2019) Correction: clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets. PLoS Comput Biol 15(1): e1006727. https://doi.org/10.1371/journal.pcbi.1006727
Published: January 11, 2019
Copyright: © 2019 The PLOS Computational Biology Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.