Meffil: error in functional normalization function (Error in rg.to.mu(rg, probes))
1
0
Entering edit mode
a.alkema • 0
@b322979c
Last seen 4 hours ago
The Netherlands

Hi, I am a beginner in epigenetic analyses. I am using the Meffil package and pipeline in preprocessing my DNA methylation data. I performed QC, extracted SNPs, removed 4 outlier samples, and performed quantile normalization. For running the function below, this error occurs. The function does work for a subselection of the first 5 samples which I find confusing. Does anyone recognize this error, knows why it came to disturb, and even better - knows how to fix it? Thanks a million!

Anne

PS I am using an older version of R/RStudio because Meffil has not been updated yet.

> norm.objects <- meffil.normalize.quantiles(qc.objects, number.pcs=pc)

> norm.beta <- meffil.normalize.samples(norm.objects, cpglist.remove = qc.summary$bad.cpgs$name)
Error in rg.to.mu(rg, probes) : 
  all(c(probes.M.R$address, probes.U.R$address) %in% rownames(rg$R)) is not TRUE

> sessionInfo()
R version 4.3.3 (2024-02-29 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 11 x64 (build 22631)

Matrix products: default


locale:
[1] LC_COLLATE=Dutch_Netherlands.utf8  LC_CTYPE=Dutch_Netherlands.utf8   
[3] LC_MONETARY=Dutch_Netherlands.utf8 LC_NUMERIC=C                      
[5] LC_TIME=Dutch_Netherlands.utf8    

time zone: Europe/Amsterdam
tzcode source: internal

attached base packages:
[1] parallel  stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] meffil_1.3.6          preprocessCore_1.62.1 SmartSVA_0.1.3        RSpectra_0.16-2      
 [5] isva_1.9              JADE_2.0-4            qvalue_2.32.0         gdsfmt_1.36.1        
 [9] statmod_1.5.0         quadprog_1.5-8        DNAcopy_1.74.1        fastICA_1.2-7        
[13] lme4_1.1-36           Matrix_1.6-3          multcomp_1.4-26       TH.data_1.1-3        
[17] survival_3.5-8        mvtnorm_1.3-3         matrixStats_1.5.0     markdown_1.13        
[21] gridExtra_2.3         Cairo_1.6-2           knitr_1.49            reshape2_1.4.4       
[25] plyr_1.8.9            sva_3.48.0            BiocParallel_1.34.2   genefilter_1.82.1    
[29] mgcv_1.9-1            nlme_3.1-164          limma_3.56.2          sandwich_3.1-1       
[33] lmtest_0.9-40         zoo_1.8-12            MASS_7.3-60.0.1       illuminaio_0.42.0    
[37] tidyr_1.3.1           dplyr_1.1.4           ggplot2_3.5.1         devtools_2.4.5       
[41] usethis_3.1.0         BiocManager_1.30.25  

loaded via a namespace (and not attached):
 [1] Rdpack_2.6.2            DBI_1.2.3               bitops_1.0-9           
 [4] remotes_2.5.0           rlang_1.1.2             magrittr_2.0.3         
 [7] clue_0.3-66             compiler_4.3.3          RSQLite_2.3.9          
[10] png_0.1-8               vctrs_0.6.4             stringr_1.5.1          
[13] profvis_0.4.0           pkgconfig_2.0.3         crayon_1.5.3           
[16] fastmap_1.2.0           XVector_0.40.0          ellipsis_0.3.2         
[19] promises_1.3.2          sessioninfo_1.2.2       nloptr_2.1.1           
[22] purrr_1.0.2             bit_4.5.0.1             xfun_0.50              
[25] zlibbioc_1.46.0         cachem_1.1.0            GenomeInfoDb_1.36.4    
[28] blob_1.2.4              later_1.4.1             cluster_2.1.6          
[31] R6_2.5.1                stringi_1.8.4           boot_1.3-29            
[34] pkgload_1.4.0           Rcpp_1.0.14             IRanges_2.34.1         
[37] httpuv_1.6.15           splines_4.3.3           tidyselect_1.2.1       
[40] rstudioapi_0.17.1       codetools_0.2-19        miniUI_0.1.1.1         
[43] pkgbuild_1.4.6          lattice_0.22-5          tibble_3.2.1           
[46] Biobase_2.60.0          shiny_1.10.0            withr_3.0.2            
[49] KEGGREST_1.40.1         askpass_1.2.1           evaluate_1.0.3         
[52] urlchecker_1.0.1        Biostrings_2.68.1       pillar_1.10.1          
[55] MatrixGenerics_1.14.0   stats4_4.3.3            reformulas_0.4.0       
[58] generics_0.1.3          RCurl_1.98-1.16         S4Vectors_0.38.2       
[61] munsell_0.5.1           scales_1.3.0            minqa_1.2.8            
[64] xtable_1.8-4            glue_1.6.2              tools_4.3.3            
[67] annotate_1.78.0         locfit_1.5-9.10         fs_1.6.5               
[70] XML_3.99-0.18           grid_4.3.3              rbibutils_2.3          
[73] AnnotationDbi_1.62.2    edgeR_3.42.4            colorspace_2.1-1       
[76] base64_2.0.2            GenomeInfoDbData_1.2.10 cli_3.6.1              
[79] gtable_0.3.6            digest_0.6.37           BiocGenerics_0.46.0    
[82] htmlwidgets_1.6.4       memoise_2.0.1           htmltools_0.5.8.1      
[85] lifecycle_1.0.4         httr_1.4.7              mime_0.12              
[88] openssl_2.3.1           bit64_4.6.0-1
methylationArrayAnalysis Normalization Epigenetics MethylationArrayData • 43 views
ADD COMMENT
0
Entering edit mode
@james-w-macdonald-5106
Last seen 3 hours ago
United States

This support site is meant to provide support for Bioconductor packages, but Meffil is not part of Bioconductor. You could presumably contact the maintainer directly, or ask questions on their GitHub site.

Login before adding your answer.

Traffic: 477 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