Notice of republication
An incomplete, earlier version of this article was published in error. The publisher apologizes for the error. This article was republished to correct for this error. Please download the article again to view the correct version. The originally published, uncorrected article and the republished, corrected article are provided here for reference.
Supporting information
S1 File. Originally published, uncorrected article.
(PDF)
pone.0321051.s001.pdf (2.3MB, pdf)
S2 File. Republished, corrected article.
(PDF)
pone.0321051.s002.pdf (2.7MB, pdf)
Reference
- Rasbach L, Caliskan A, Saderi F, Dandekar T, Breitenbach T. An orchestra of machine learning methods reveals landmarks in single-cell data exemplified with aging fibroblasts. PLoS One. 2024;19(4): e0302045. doi: 10.1371/journal.pone.0302045 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
S1 File. Originally published, uncorrected article.
(PDF)
pone.0321051.s001.pdf (2.3MB, pdf)
S2 File. Republished, corrected article.
(PDF)
pone.0321051.s002.pdf (2.7MB, pdf)