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Predefined covariates #38

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gk1610 opened this issue May 19, 2022 · 0 comments
Open

Predefined covariates #38

gk1610 opened this issue May 19, 2022 · 0 comments

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@gk1610
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gk1610 commented May 19, 2022

I am working on epigenomic data to find outliers. I have over ~350K features. I requested for 15 cores but I keep getting the following error. Can I just use PEER covariate subtracted matrix? At what step I can implement that? or you have other suggestions to improve the implementation?

ncores <- 15
register(MulticoreParam(ncores, ncores*2, progressbar = TRUE))
ods <- OutriderDataSet(countData=rawReads_cpm)
ods <- estimateSizeFactors(ods)
ods <- findEncodingDim(ods, BPPARAM=bpparam(), params = seq(2,50,by=2)

| | 0%Error in mcfork(detached) :
unable to fork, possible reason: Cannot allocate memory
In addition: Warning message:
In parallel::mccollect(wait = TRUE) :
18 parallel jobs did not deliver results

@gk1610 gk1610 changed the title Predefined covariates memory error with 300K features May 19, 2022
@gk1610 gk1610 changed the title memory error with 300K features Predefined covariates May 19, 2022
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