Nothing
## ----echo = FALSE, message = FALSE----------------------------------------------------------------
library(markdown)
library(knitr)
knitr::opts_chunk$set(
error = FALSE,
tidy = TRUE,
message = FALSE,
fig.align = "center",
collapse = TRUE,
comment = "#>")
options(width = 100)
options(rmarkdown.html_vignette.check_title = FALSE)
## ----message=TRUE---------------------------------------------------------------------------------
library(sigminer)
data("simulated_catalogs")
mat <- t(simulated_catalogs$set1)
mat[1:5, 1:5]
## ----eval=FALSE-----------------------------------------------------------------------------------
# # 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
# )
## ----include=FALSE--------------------------------------------------------------------------------
e1 <- readRDS("e1.rds")
## ----message=TRUE, fig.width=4, fig.height=3------------------------------------------------------
bp_show_survey2(e1, highlight = 10)
## -------------------------------------------------------------------------------------------------
obj <- bp_get_sig_obj(e1, 10)
## ----fig.width=10, fig.height=8-------------------------------------------------------------------
show_sig_profile(obj, mode = "SBS", style = "cosmic")
## ----fig.width=8, fig.height=5--------------------------------------------------------------------
show_sig_exposure(obj, rm_space = TRUE)
## ----message=TRUE---------------------------------------------------------------------------------
sim <- get_sig_similarity(obj, sig_db = "SBS")
## ----fig.width=10, fig.height=6-------------------------------------------------------------------
if (require(pheatmap)) {
pheatmap::pheatmap(sim$similarity)
}
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