Dear list,
I am getting the error listed below when i try to run the "gage"
function within GAGE package:
Error in rank(cns) : unimplemented type 'NULL' in 'greater'
In addition: Warning message:
In is.na(x) : is.na() applied to non-(list or vector) of type 'NULL'
I have
1. Gene expression data consisting 4 libraries of "wildtype" and 4 of
"knockout", totaling to 8 libraries. Each library contains expression
values (normalized) for 6449 genes.
2. Phenotype file contains 2 phenotype classes: "wt" for wildtype and
"ko" for knockout.
3. Gene set is custom made gene set. There are a total of 10 genesets
containing 1406, 17, 10, 8, 150, 124, 91, 162, 58 and 290 genes
respectively.
I am able to read all the input files properly. I have done multiple
GAGE analysis before but i didn't get error of this kind. Both the
Gene set and Expression data are using the same gene ID system.
Any help would be really appreciated. Thanks in advance.
Thanks,
Jung
[[alternative HTML version deleted]]
Jung,
>From the error message, you get NULL in your gage results (say,
your.gage.res) somehow. Type in:
your.gage.res$greater
you may track your problem from here.
Weijun
--- "Javerjung Sandhu" <jsandhu at="" bcgsc.ca=""> wrote:
Dear list,
I am getting the error listed below when i try to run the "gage"
function within GAGE package:
Error in rank(cns) : unimplemented type 'NULL' in 'greater'
In addition: Warning message:
In is.na(x) : is.na() applied to non-(list or vector) of type 'NULL'
I have
1. Gene expression data consisting 4 libraries of "wildtype" and 4 of
"knockout", totaling to 8 libraries. Each library contains expression
values (normalized) for 6449 genes.
2. Phenotype file contains 2 phenotype classes: "wt" for wildtype and
"ko" for knockout.
3. Gene set is custom made gene set. There are a total of 10 genesets
containing 1406, 17, 10, 8, 150, 124, 91, 162, 58 and 290 genes
respectively.
I am able to read all the input files properly. I have done multiple
GAGE analysis before but i didn't get error of this kind. Both the
Gene set and Expression data are using the same gene ID system.
Any help would be really appreciated. Thanks in advance.
Thanks,
Jung