Hi Steffen --
getBM now returns the 'description' rather than 'name' of biomaRt columns, e.g.,
mart <- useMart("ensembl")
datasets <- listDatasets(mart)
mart<-useDataset("hsapiens_gene_ensembl",mart)
df <- getBM(attributes=c("affy_hg_u95av2", "hgnc_symbol",
On Thu, Jun 6, 2013 at 1:48 AM, Thomas Dybdal Pedersen
wrote:
> Hi
>
> I'm developing a wrapper for the peptide-identification tool MS GF+. The
> algorithm is developed in Java and the .jar file has a size around 20 mb.
>
> For the ease of the user, I think it would make sense to pack the java co
there was a package addressing cross-sample distributional shapes, edd, but
it was retired due to lack of use, IIRC
http://books.google.com/books?id=jIMO2rRaCbMC&pg=PA55&lpg=PA55&dq=edd+expression+density+diagnostics&source=bl&ots=tXKdRicJ8x&sig=vZF9tRCrLAhiaVinx7yeEMh3bSA&hl=en&sa=X&ei=DgOyUbitIt
Hi James
Thank you very much for the answer. Yes I understand that it is across
experiments that a given probe should follow a normal distribution, but if
this is true shouldn't the population of those probes similarly follow a
normal distribution in turn, or not necessarily. I am concern that bec
Hi Miguel,
On 6/7/2013 5:11 AM, Miguel Moreno-Risueno wrote:
Hello all,
We have recently received a microarray experiment in the Nimblegen platform
where the intensity of the probe sets follow a bi-modal distribution. We
have been said from the facility that this is because of the dynamic r
Hello all,
We have recently received a microarray experiment in the Nimblegen platform
where the intensity of the probe sets follow a bi-modal distribution. We
have been said from the facility that this is because of the dynamic range
of the Agilent scanner they use. We are concerned about t
