createApp | R Documentation |
This function is for the reproduction of the application results in the vignette and publication. See the publication Pirkl & Beerenwinkel (2018) on how to download the data files: GSE92872_CROP-seq_Jurkat_TCR.digital_expression.csv k562_both_filt.txt GSM2396861_k562_ccycle_cbc_gbc_dict.csv GSM2396858_k562_tfs_7_cbc_gbc_dict.csv
createApp(
sets = seq_len(3),
m = NULL,
n = NULL,
o = NULL,
maxk = 5,
parallel = NULL,
path = "",
types = c("data", "lods", "mnem"),
allcrop = FALSE,
multi = FALSE,
file = NULL,
...
)
sets |
numeric vector with the data sets: 1 (CROPseq), 2, 3 (both PERTURBseq); default is all three |
m |
number of Sgenes (for testing) |
n |
number of most variable E-genes (for testing) |
o |
number of samples per S-gene (for testing) |
maxk |
maximum number of component in mnem inference (default: 5) |
parallel |
number of threads for parallelisation |
path |
path to the data files path/file.csv: "path/" |
types |
types of data/analysis; "data" creates the gene expression matrix, "lods" includes the log odds, "mnem" additionally performes the mixture nem analysis; default c("data", "lods", "mnem") |
allcrop |
if TRUE, does not restrict and uses the full CROPseq dataset |
multi |
if TRUE, includes cells with more than one perturbed gene |
file |
path and filename of the rda file with the raw data from the command "data <- createApp(..., types = "data")" |
... |
additional parameters for the mixture nem function |
app data object
Martin Pirkl
## recreate the app data object (takes very long, i.e. days)
## Not run:
createApp()
## End(Not run)
data(app)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.