[R] algorithms that cluster time series data
bgunter@4567 @end|ng |rom gm@||@com
Mon Jul 6 21:01:15 CEST 2020
And since this is about RNA expression data, you would do better posting on
the Bioconductor Help site rather than here. You are more likely to find
the expertise and interest you seek there.
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Mon, Jul 6, 2020 at 10:22 AM Sarah Goslee <sarah.goslee using gmail.com> wrote:
> 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.
> 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.
> 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
> > 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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> > PLEASE do read the posting guide
> > and provide commented, minimal, self-contained, reproducible code.
> Sarah Goslee (she/her)
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
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