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TRASA
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@trasa-17881
Last seen 5.4 years ago
Hi
I would like to perform de novo mutational signature extraction. I am trying to follow the vignette of the MutationalPattern package. I managed to create the matrix for my samples. However, I encounter problems when I try to estiamte the number of mutational signatures in my samples. Here my code and corresponding errors:
estimate<- nmf(mut_mat, rank=2:5, method="brunet", nrun=30, seed=123456)
Timing stopped at: 1.743 0.306 1.875
Timing stopped at: 1.732 0.309 1.881
Timing stopped at: 1.979 0.346 2.183
Timing stopped at: 1.765 0.309 1.899
Error in (function (...) : All the runs produced an error:
-#1 [r=2] -> NMF::nmf - 30/30 fit(s) threw an error.
# Error(s) thrown:
- run #1: unused arguments (model = list("NMFstd", 2, 0), method = "random")
-#2 [r=3] -> NMF::nmf - 30/30 fit(s) threw an error.
# Error(s) thrown:
- run #1: unused arguments (model = list("NMFstd", 3, 0), method = "random")
-#3 [r=4] -> NMF::nmf - 30/30 fit(s) threw an error.
# Error(s) thrown:
- run #1: unused arguments (model = list("NMFstd", 4, 0), method = "random")
-#4 [r=5] -> NMF::nmf - 30/30 fit(s) threw an error.
# Error(s) thrown:
- run #1: unused arguments (model = list("NMFstd", 5, 0), method = "random")
Has anybody encountered a similar problem and solved it?
Thanks for your help.
Below you find sessionInfo:
R version 3.5.1 (2018-07-02)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS 10.14.4
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] parallel stats4 stats graphics grDevices utils datasets methods base
other attached packages:
[1] signeR_1.8.0 doParallel_1.0.14 iterators_1.0.10
[4] foreach_1.4.4 VariantAnnotation_1.28.13 Rsamtools_1.34.1
[7] SummarizedExperiment_1.12.0 DelayedArray_0.8.0 BiocParallel_1.16.6
[10] matrixStats_0.54.0 readxl_1.3.1 BSgenome.Hsapiens.UCSC.hg38_1.4.1
[13] BSgenome_1.50.0 rtracklayer_1.42.2 Biostrings_2.50.2
[16] XVector_0.22.0 MutationalPatterns_1.8.0 NMF_0.21.0
[19] bigmemory_4.5.33 Biobase_2.42.0 cluster_2.0.9
[22] rngtools_1.3.1 pkgmaker_0.27 registry_0.5-1
[25] GenomicRanges_1.34.0 GenomeInfoDb_1.18.2 IRanges_2.16.0
[28] S4Vectors_0.20.1 BiocGenerics_0.28.0
loaded via a namespace (and not attached):
[1] bitops_1.0-6 bit64_0.9-7 RColorBrewer_1.1-2 progress_1.2.2
[5] httr_1.4.0 tools_3.5.1 R6_2.4.0 DBI_1.0.0
[9] lazyeval_0.2.2 colorspace_1.4-1 withr_2.1.2 tidyselect_0.2.5
[13] prettyunits_1.0.2 PMCMR_4.3 bit_1.1-14 compiler_3.5.1
[17] ggdendro_0.1-20 scales_1.0.0 stringr_1.4.0 digest_0.6.18
[21] pkgconfig_2.0.2 bibtex_0.4.2 rlang_0.3.4 rstudioapi_0.10
[25] RSQLite_2.1.1 dplyr_0.8.1 RCurl_1.95-4.12 magrittr_1.5
[29] GenomeInfoDbData_1.2.0 Matrix_1.2-17 Rcpp_1.0.1 munsell_0.5.0
[33] stringi_1.4.3 yaml_2.2.0 MASS_7.3-51.4 zlibbioc_1.28.0
[37] plyr_1.8.4 grid_3.5.1 blob_1.1.1 bigmemory.sri_0.1.3
[41] crayon_1.3.4 lattice_0.20-38 cowplot_0.9.4 GenomicFeatures_1.34.8
[45] hms_0.4.2 pillar_1.4.0 reshape2_1.4.3 codetools_0.2-16
[49] biomaRt_2.38.0 XML_3.98-1.19 glue_1.3.1 BiocManager_1.30.4
[53] nloptr_1.2.1 cellranger_1.1.0 gtable_0.3.0 purrr_0.3.2
[57] assertthat_0.2.1 ggplot2_3.1.1 gridBase_0.4-7 xtable_1.8-4
[61] pracma_2.2.5 class_7.3-15 tibble_2.1.1 GenomicAlignments_1.18.1
[65] AnnotationDbi_1.44.0 memoise_1.1.0