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.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things in
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 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
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
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
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