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Assume you have already gotten a catalog matrix (sample-by-component) like below:
library(sigminer)
data("simulated_catalogs")
mat <- t(simulated_catalogs$set1)
mat[1:5, 1:5]
#> A[C>A]A A[C>A]C A[C>A]G A[C>A]T C[C>A]A
#> Sample_1 911 761 88 744 883
#> Sample_2 195 175 19 174 225
#> Sample_3 95 51 12 55 142
#> Sample_4 131 71 14 77 170
#> Sample_5 33 10 2 14 55
Extract signatures with:
# Here I reduce the values for n_bootstrap and n_nmf_run for reducing the run time. In practice,
# you should keep default or increase the values for better estimation. The input data here is
# simulated from 10 mutational signatures
e1 <- bp_extract_signatures(mat, range = 8:12, n_bootstrap = 5, n_nmf_run = 10)
Check which signature number is proper:
bp_show_survey2(e1, highlight = 10)
#> Variables can be used: signature_number, silhouette, sample_cosine_distance, L1_error, L2_error, exposure_positive_correlation, signature_similarity_within_cluster, signature_similarity_across_cluster, silhouette_sample
Get the 10
signatures:
Show signature profile:
Show signature activity (a.k.a. exposure) profile:
Calculate the similarity to COSMIC reference signatures:
sim <- get_sig_similarity(obj, sig_db = "SBS")
#> -Comparing against COSMIC signatures
#> ------------------------------------
#> --Found Sig1 most similar to SBS12
#> Aetiology: Unknown [similarity: 0.932]
#> --Found Sig2 most similar to SBS13
#> Aetiology: Activity of APOBEC family of cytidine deaminases [similarity: 0.97]
#> --Found Sig3 most similar to SBS5
#> Aetiology: Unknown (clock-like signature) [similarity: 0.95]
#> --Found Sig4 most similar to SBS3
#> Aetiology: Defective homologous recombination DNA damage repair [similarity: 0.927]
#> --Found Sig5 most similar to SBS8
#> Aetiology: Unknown [similarity: 0.934]
#> --Found Sig6 most similar to SBS18
#> Aetiology: Damage by reactive oxygen species [similarity: 0.975]
#> --Found Sig7 most similar to SBS1
#> Aetiology: Spontaneous deamination of 5-methylcytosine (clock-like signature) [similarity: 0.76]
#> --Found Sig8 most similar to SBS6
#> Aetiology: Defective DNA mismatch repair [similarity: 0.957]
#> --Found Sig9 most similar to SBS17b
#> Aetiology: Unknown [similarity: 0.888]
#> --Found Sig10 most similar to SBS2
#> Aetiology: Activity of APOBEC family of cytidine deaminases [similarity: 0.986]
#> ------------------------------------
#> Return result invisiblely.
If you encounter warnings about future
package, please
set the following options before running code:
Please go to reference list for well organized functions and documentation.
For more about mutational signature and sigminer usage, you can read sigminer-book.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.