Hi, Unsupervised classification (clustering) is a huge field. There's an entire task view devoted to it, where you can see many of the large array of R packages that perform some sort of clustering.
https://cran.r-project.org/web/views/Cluster.html Since that is an overwhelming list, you may be best served by looking at how others in your field have approached similar problems, and then look for R packages that perform the relevant analyses. Sarah On Mon, Jul 6, 2020 at 1:11 PM Bogdan Tanasa <tan...@gmail.com> wrote: > > Dear all, > > please may I ask for a suggestion regarding the algorithms to cluster the > expression data in single cells (scRNA-seq) at multiple time points : > > we do have expression data for 30 000 genes in 10 datasets that have been > collected at multiple time points, > > and i was wondering if you could please recommend *any algorithms/R > packages that could help with the clustering of the gene expression at > different time points.* thanks a lot, and all the best, > > -- bogdan > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Sarah Goslee (she/her) http://www.numberwright.com ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
