Displaying 5 results from an estimated 5 matches for "totable".
Did you mean:
notable
2012 Nov 07
0
Annotation using org.At.tair.db package in R
....At.tairGENENAME[ids] #map the probe ids to the gene
names in TAIR
The output of which is AnnDbBiMap[1]
number<-org.At.tairENTREZID[ids] #map the probe ids to the gene ids in
TAIR
The output of which is AnnDbBiMap[1]
And then I try to merge both the lists as :
xx<-toTable(entrez)
yy<-toTable(number)
complete<-merge(xx,yy)
I get an error in this step and unable to proceed further.The error reads:
Error in fix.by(by.y.y): 'by' must specify uniquely valid column(s)
Is it because ids <- scr[,1] is a factor ? How would it be possible...
2011 Oct 04
1
Assigning genes to CBS segmented output:
Hi All,
I have an CBS segmentation algorithm output for 10 tumor samples each from 2
different tumors.
Now, I am in an urgent need to assign gene (followed by all genes present)
that belong to a particular segment after I removed all the CNVs from
segment data. The format of the data is:
Sample Chromosome Start End Num_Probes Segment_Mean
Sample1A-TA 1 51598 76187 15
2008 Jul 08
2
list genes w/n a genomic fragment
Hi, is there any package/function in Bioconductor that can do this: if given
the chromosome positions of a fragment, find out all genes within, and with
the information about which strand is the sense strand. And vice versa.
Thanks a lot.
-----
Appreciate your time & attention!
--
View this message in context: http://www.nabble.com/list-genes-w-n-a-genomic-fragment-tp18331452p18331452.html
2007 Feb 21
1
Trying to get an apply to work with a list in applying names to tables
I am trying to use apply and a list to supply names
to a set of tables I want to generate. Below is an
example that I hope mimics the larger original
problem.
EXAMPLE
aa <- c( 2,2,1,1,2)
bb <- c(5,6,6,7,4)
aan <- c("yes", "no")
bbn <- c("a", "b", "c", "d")
mynames <- c("abby", "billy")
mylist <-
2011 Sep 13
2
GO & Protein Complex Analysis for Homo sapiens
Dear All,
I need to fetch GO ontologies for Homo sapiens with their mappings to
corresponding Uniprot identifiers. I would be using this information to
compare result from a clustering algorithm with existing protein complexes.
This would be a test to check how the clustering algorithm accurately
captures GO terms with respect to the known protein complexes. Can anyone
suggest a simple workflow