algorithms that cluster time series data
Dear Sarah, thank you very much for pointing to the list of available packages and algorithms.
On Mon, Jul 6, 2020 at 10:20 AM Sarah Goslee <sarah.goslee at gmail.com> wrote:
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 <tanasa at 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
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