[R] algorithms that cluster time series data

[Bogdan Tanasa]

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 using 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 using 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)
> http://www.numberwright.com
>

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