Hi everyone,
I'm currently getting some warnings when using lfcshrinkage with "ashr", regarding solve().
Example
Code should be placed in three backticks as shown below
library(zebrafishRNASeq)
data(zfGenes)
dds <- DESeqDataSetFromMatrix(countData = zfGenes,
colData = data.frame(group=rep(c("Ctl","Trt"),each=3)),
design= ~ group)
dm<-dm[rowSums(counts(dm)) > 0 , ] #remove the genes w/ 0 reads
dds <- DESeq(dds)
res <- results(dds, contrast = c("group", "Trt","Ctl"))
ashr_res<-lfcShrink(dds, contrast = c("group", "Trt","Ctl"),type="ashr")
This leads to the production of the corresponding output:
warning: solve(): system is singular (rcond: 4.77692e-17); attempting approx solution
warning: solve(): system is singular (rcond: 6.21768e-17); attempting approx solution
warning: solve(): system is singular (rcond: 9.89691e-17); attempting approx solution
warning: solve(): system is singular (rcond: 6.62855e-17); attempting approx solution
warning: solve(): system is singular (rcond: 7.63405e-17); attempting approx solution
warning: solve(): system is singular (rcond: 7.66601e-17); attempting approx solution
warning: solve(): system is singular (rcond: 7.91531e-17); attempting approx solution
warning: solve(): system is singular (rcond: 8.20337e-17); attempting approx solution
Is there anyone getting the same error?
sessionInfo():
R version 4.1.2 (2021-11-01)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7600)
Matrix products: default
locale:
[1] LC_COLLATE=Portuguese_Portugal.1252 LC_CTYPE=Portuguese_Portugal.1252
[3] LC_MONETARY=Portuguese_Portugal.1252 LC_NUMERIC=C
[5] LC_TIME=Portuguese_Portugal.1252
attached base packages:
[1] stats4 stats graphics grDevices utils datasets methods base
other attached packages:
[1] zebrafishRNASeq_1.14.0 RUVSeq_1.28.0 edgeR_3.36.0
[4] limma_3.50.3 EDASeq_2.28.0 ShortRead_1.52.0
[7] GenomicAlignments_1.30.0 Rsamtools_2.10.0 Biostrings_2.62.0
[10] XVector_0.34.0 BiocParallel_1.28.3 openxlsx_4.2.5
[13] xlsx_0.6.5 ggprism_1.0.3 vsn_3.62.0
[16] gridExtra_2.3 stringr_1.4.0 readxl_1.4.0
[19] genefilter_1.76.0 ggplot2_3.3.6 org.Mm.eg.db_3.14.0
[22] AnnotationDbi_1.56.2 RColorBrewer_1.1-3 pheatmap_1.0.12
[25] DESeq2_1.34.0 SummarizedExperiment_1.24.0 Biobase_2.54.0
[28] MatrixGenerics_1.6.0 matrixStats_0.62.0 GenomicRanges_1.46.1
[31] GenomeInfoDb_1.30.1 IRanges_2.28.0 S4Vectors_0.32.4
[34] BiocGenerics_0.40.0
loaded via a namespace (and not attached):
[1] backports_1.4.1 aroma.light_3.24.0 BiocFileCache_2.2.1
[4] splines_4.1.2 inline_0.3.19 digest_0.6.29
[7] invgamma_1.1 htmltools_0.5.2 SQUAREM_2021.1
[10] fansi_1.0.3 magrittr_2.0.3 memoise_2.0.1
[13] annotate_1.72.0 RcppParallel_5.1.5 R.utils_2.11.0
[16] prettyunits_1.1.1 jpeg_0.1-9 colorspace_2.0-3
[19] rappdirs_0.3.3 blob_1.2.3 xfun_0.31
[22] dplyr_1.0.9 callr_3.7.0 crayon_1.5.1
[25] RCurl_1.98-1.6 survival_3.3-1 glue_1.6.2
[28] gtable_0.3.0 zlibbioc_1.40.0 DelayedArray_0.20.0
[31] car_3.0-13 pkgbuild_1.3.1 rstan_2.21.5
[34] abind_1.4-5 scales_1.2.0 DBI_1.1.2
[37] rstatix_0.7.0 Rcpp_1.0.8.3 progress_1.2.2
[40] xtable_1.8-4 bit_4.0.4 preprocessCore_1.56.0
[43] StanHeaders_2.21.0-7 truncnorm_1.0-8 httr_1.4.3
[46] modeltools_0.2-23 ellipsis_0.3.2 pkgconfig_2.0.3
[49] loo_2.5.1 XML_3.99-0.9 rJava_1.0-6
[52] R.methodsS3_1.8.1 flexmix_2.3-17 farver_2.1.0
[55] dbplyr_2.1.1 nnet_7.3-17 locfit_1.5-9.5
[58] utf8_1.2.2 tidyselect_1.1.2 labeling_0.4.2
[61] rlang_1.0.2 munsell_0.5.0 cellranger_1.1.0
[64] tools_4.1.2 cachem_1.0.6 cli_3.2.0
[67] generics_0.1.2 RSQLite_2.2.14 broom_0.8.0
[70] evaluate_0.15 fastmap_1.1.0 yaml_2.3.5
[73] processx_3.5.3 knitr_1.39 bit64_4.0.5
[76] zip_2.2.0 purrr_0.3.4 KEGGREST_1.34.0
[79] R.oo_1.24.0 xml2_1.3.3 biomaRt_2.50.3
[82] compiler_4.1.2 rstudioapi_0.13 filelock_1.0.2
[85] curl_4.3.2 png_0.1-7 affyio_1.64.0
[88] ggsignif_0.6.3 tibble_3.1.6 geneplotter_1.72.0
[91] stringi_1.7.6 ps_1.7.0 GenomicFeatures_1.46.5
[94] lattice_0.20-45 Matrix_1.4-1 vctrs_0.4.1
[97] pillar_1.7.0 lifecycle_1.0.1 BiocManager_1.30.17
[100] cowplot_1.1.1 bitops_1.0-7 irlba_2.3.5
[103] rtracklayer_1.54.0 BiocIO_1.4.0 R6_2.5.1
[106] latticeExtra_0.6-29 affy_1.72.0 hwriter_1.3.2.1
[109] codetools_0.2-18 MASS_7.3-57 assertthat_0.2.1
[112] xlsxjars_0.6.1 rjson_0.2.21 withr_2.5.0
[115] GenomeInfoDbData_1.2.7 hms_1.1.1 parallel_4.1.2
[118] grid_4.1.2 tidyr_1.2.0 rmarkdown_2.14
[121] carData_3.0-5 ashr_2.2-54 ggpubr_0.4.0
[124] mixsqp_0.3-43 lubridate_1.8.0 restfulr_0.0.13
Thanks in advance!
Upgrading the package solved the issue, thanks!
Hi andrebolerbarros, Do you use windows? If yes, How did you update the mixsqp package please?
Thanks!
Exactly as above, there is no difference in Windows. Do you meet any problems?
It's solved now after restarting R. Many thanks