[R] algorithms that cluster time series data

Sarah Goslee
Mon, 06 Jul 2020 17:20:34 -0000

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
>
>         [[alternative HTML version deleted]]
>
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--
Sarah Goslee (she/her)