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         / ___\_` __ \__  \ |  |  \/ __ | | \\_  __\
        / /_/  >  | \// __ \|  |  / /_/ | |  ||  |  
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              grep rough audit - static analysis tool
                  v2.8 written by @Wireghoul
=================================[justanotherhacker.com]===
r-bioc-destiny-3.4.0/inst/CITATION-2-  if ('Authors' %in% names(meta)) meta$Authors
r-bioc-destiny-3.4.0/inst/CITATION:3:  else eval(parse(text = meta$`Authors@R`))
r-bioc-destiny-3.4.0/inst/CITATION-4-)
##############################################
r-bioc-destiny-3.4.0/inst/doc/Diffusion-Maps.ipynb-210-    "\n",
r-bioc-destiny-3.4.0/inst/doc/Diffusion-Maps.ipynb:211:    "The object internally stores an expression matrix of features × samples, retrievable using `exprs(ct)`, and an annotation `data.frame` of samples × annotations as `phenoData(ct)`. Annotations can be accessed directly via `ct$column` and `ct[['column']]`. Note that the expression matrix is transposed compared to the usual samples × features `data.frame`.\n",
r-bioc-destiny-3.4.0/inst/doc/Diffusion-Maps.ipynb-212-    "\n",
##############################################
r-bioc-destiny-3.4.0/inst/doc/Global-Sigma.ipynb-21-    "\n",
r-bioc-destiny-3.4.0/inst/doc/Global-Sigma.ipynb:22:    "The other important parameter for `DiffusionMap` is the Gaussian kernel width `sigma` ($\\sigma$) that determines the transition probability between data points. The default call of **destiny** – `DiffusionMap(data)` aka `DiffusionMap(data, 'local')`) – uses a local `sigma` per cell, derived from a local density estimate around each cell.\n",
r-bioc-destiny-3.4.0/inst/doc/Global-Sigma.ipynb-23-    "\n",
##############################################
r-bioc-destiny-3.4.0/inst/doc/tidyverse.ipynb-202-   "source": [
r-bioc-destiny-3.4.0/inst/doc/tidyverse.ipynb:203:    "`names(dm)` shows what names can be used in `dm$<name>`, `as.data.frame(dm)$<name>`, or `ggplot(dm, aes(<name>))`:"
r-bioc-destiny-3.4.0/inst/doc/tidyverse.ipynb-204-   ]
##############################################
r-bioc-destiny-3.4.0/vignettes/Diffusion-Maps.ipynb-210-    "\n",
r-bioc-destiny-3.4.0/vignettes/Diffusion-Maps.ipynb:211:    "The object internally stores an expression matrix of features × samples, retrievable using `exprs(ct)`, and an annotation `data.frame` of samples × annotations as `phenoData(ct)`. Annotations can be accessed directly via `ct$column` and `ct[['column']]`. Note that the expression matrix is transposed compared to the usual samples × features `data.frame`.\n",
r-bioc-destiny-3.4.0/vignettes/Diffusion-Maps.ipynb-212-    "\n",
##############################################
r-bioc-destiny-3.4.0/vignettes/Global-Sigma.ipynb-21-    "\n",
r-bioc-destiny-3.4.0/vignettes/Global-Sigma.ipynb:22:    "The other important parameter for `DiffusionMap` is the Gaussian kernel width `sigma` ($\\sigma$) that determines the transition probability between data points. The default call of **destiny** – `DiffusionMap(data)` aka `DiffusionMap(data, 'local')`) – uses a local `sigma` per cell, derived from a local density estimate around each cell.\n",
r-bioc-destiny-3.4.0/vignettes/Global-Sigma.ipynb-23-    "\n",
##############################################
r-bioc-destiny-3.4.0/vignettes/tidyverse.ipynb-202-   "source": [
r-bioc-destiny-3.4.0/vignettes/tidyverse.ipynb:203:    "`names(dm)` shows what names can be used in `dm$<name>`, `as.data.frame(dm)$<name>`, or `ggplot(dm, aes(<name>))`:"
r-bioc-destiny-3.4.0/vignettes/tidyverse.ipynb-204-   ]
##############################################
r-bioc-destiny-3.4.0/debian/tests/run-unit-test-5-if [ "$AUTOPKGTEST_TMP" = "" ] ; then
r-bioc-destiny-3.4.0/debian/tests/run-unit-test:6:    AUTOPKGTEST_TMP=`mktemp -d /tmp/${debname}-test.XXXXXX`
r-bioc-destiny-3.4.0/debian/tests/run-unit-test-7-    trap "rm -rf $AUTOPKGTEST_TMP" 0 INT QUIT ABRT PIPE TERM