A problem when ruuning runGAIA function in gaia package when analysis CNV data from TCGA
0
0
Entering edit mode
2.5 years ago
Dude • 0

Hi everyone! Sorry to bother, I encountered an irritating problem when running runGAIA function on CNV data from TCGA. The runGAIA function code is listed below

> system.time(suppressWarnings({
+   results <- runGAIA(cnv_obj, 
                  markers_obj,
                  output_file_name = paste0("/Users/A/B/C/D/E/F/G/H/GAIA_", "LIHC", "_flt.txt"),
                  aberrations = -1,
                  chromosomes = -1,
                  num_iterations = 10,
                  threshold = 0.25)

}))

It takes more than an hour at least to run the code above each time, and I just keep getting the error message below, which is really frustrating.

Running Homogeneous peel-off Algorithm With Significance Threshold of 0.25 and
Homogenous Threshold of 0.12   
.Error in if (tmp_list[[1]] == -1) { : the condition has length > 1 
Timing stopped at: 4098 159.9 4368

I would really appreciate my question can be answered, thank you in advance!!!

--------------------------------------------------

Ihe data i used can be found in the link below:

https://github.com/Datapioneer/Question.git

TCGA CNV GAIA • 1.4k views
ADD COMMENT
1
Entering edit mode

Things to check include:

  • are overlapping CN segments permitted in your input data?
  • 'chr' prefix versus no 'chr' prefix
  • which contigs are you processing? - -1 will mean that everything is processed, but what if you have weird contigs / patch sequences in your input?
  • significance threshold may be too low and needs to be set to 1 to permit everything through on a first pass

I had a GAIA workflow adapted from Tiago Silva split across multiple answers, starting HERE ( How to extract the list of genes from TCGA CNV data ), if you wish to have a running example to follow as guidance.

ADD REPLY
0
Entering edit mode

Thank you, I've read the instructions you provided.

There is something that confuses me still a bit:

  1. Is "overlapping CN segments" referring to the overlapped chromosome CNV segment in the same sample or between samples?
  2. Does 'chr' prefix means that I need to convert my input cnvMatrix(CNVdata) data from data.frame into tibble and turn the "Chromosome" variable in both cnvMatrix and markersMatrix_filtered data from "<int> " to " "<chr>" ? Cause I just noticed that my cnvmatrix data does not contain variable attribution information between variable name row and the first observation row when using the command "head(CNVdata)" below:

head(CNVdata)

Sample.Name Chromosome Start End Num.of.Markers Aberration

1 TCGA-DD-AAEH-01A-11D-A40Q-01 1 3218610 9454865 3653 0
2 TCGA-DD-AAEH-01A-11D-A40Q-01 1 16751233 16753901 3 0
3 TCGA-DD-AAEH-01A-11D-A40Q-01 1 111014215 111014420 3 0
4 TCGA-DD-AAEH-01A-11D-A40Q-01 1 149879545 151598232 615 1
5 TCGA-DD-AAEH-01A-11D-A40Q-01 1 151600441 151600454 2 0
6 TCGA-DD-AAEH-01A-11D-A40Q-01 1 151602647 247813706 60724 1

And below is my markersmatrix_filtered, whose "Chromosome" is presented as <int>, which probably mean that it should be changed to <chr>?

>   head(markersMatrix_filtered)
> #  A tibble: 6 × 3
>   Probe.Name Chromosome Start 
>    <chr>           <int> <dbl>
> 1 CN_473964           1 61808
>  2 CN_473965           1 61823
>  3 CN_477984           1 62152 
>  4 CN_473981           1 62920
>  5 CN_473982           1 62937    
>  6 CN_497980           1 72704
  1. Where and how can I check and specify the "contigs" parameter you just mentioned?

Sorry, I am still learning, hope I am not bothering, really appreciate it!!

ADD REPLY
0
Entering edit mode

Hi! I would like to know if you were able to solve the problem with the runGAIA function.

ADD REPLY
0
Entering edit mode

Hi there. I have run the "runGAIA" function on CNV data from TCGA many times, but recently, when I run it, using the same code as before, this error appeared. Did you solve this problem? Thanks in advance!!

ADD REPLY

Login before adding your answer.

Traffic: 1670 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6