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############################################################################## | |
############################################################################## | |
### | |
### Running command: | |
### | |
### /Library/Frameworks/R.framework/Resources/bin/R CMD build --keep-empty-dirs --no-resave-data BiocFileCache | |
### | |
############################################################################## | |
############################################################################## |
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library(shiny) | |
library(xenLite) | |
library(SpatialExperiment) | |
what = "LUAD" | |
ui = fluidPage( | |
sidebarLayout( | |
sidebarPanel( | |
uiOutput("topbox"), |
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setup: | |
> options(repos=c(BioCsoft="https://bioc.r-universe.dev", CRAN="https://cloud.r-project.org")) | |
> getOption("repos") | |
BioCsoft CRAN | |
"https://bioc.r-universe.dev" "https://cloud.r-project.org" | |
> install.packages("impute") | |
Installing package into ‘/Users/papa/Library/R/arm64/4.4/library’ |
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library(plotly) | |
library(ggplot2) | |
library(XenSCE) | |
if (!exists("gbm")) load("gbm.rda") | |
print.xen_ggprep = function(x, ...) { | |
cat(sprintf("xen_ggprep instance for %d cells with %d cell boundary vertices.\n", ncol(x$sampd), nrow(x$bounds))) | |
} | |
ggprep_seg = function(xsce, xlim=c(5800,6200), ylim=c(6300, 6700), show_tx=TRUE) { |
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library(plotly) | |
library(ggplot2) | |
library(XenSCE) | |
if (!exists("gbm")) load("gbm.rda") | |
plotly_seg = function(xsce, xlim=c(5800,6000), ylim=c(6300, 6500), show_tx=TRUE) { | |
bounds = getCellBoundaries(xsce) | |
bounds = bounds[bounds$vertex_x > xlim[1] & | |
bounds$vertex_x < xlim[2] & bounds$vertex_y > ylim[1] & bounds$vertex_y < ylim[2],] | |
c4 <- as.data.frame(bounds) | |
#ggplot(c4, aes(x=vertex_x, y=vertex_y, group=cell_id)) + geom_path() -> pas |
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library(shiny) | |
library(ParquetDataFrame) | |
library(XenSCE) | |
if (!exists("gbm")) load("gbm.rda") | |
ui = fluidPage( | |
sidebarLayout( | |
sidebarPanel( | |
helpText("view gbm"), |
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get_bioc_packagelist = function(rel = "RELEASE_3_19") { | |
system("git clone https://git.bioconductor.org/admin/manifest") | |
owd = getwd() | |
setwd("manifest") | |
on.exit(setwd(owd)) | |
system(paste("git checkout ", rel)) | |
proc_software.txt = function() { | |
x = readLines("software.txt")[-1] # first line is comment | |
nn = which(nchar(x)==0) | |
tmp = x[-nn] |
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library(EBImage) | |
library(shiny) | |
ui = fluidPage( | |
sidebarLayout( | |
sidebarPanel( | |
helpText("EBImage explorer"), | |
fileInput("inimg", "file"), | |
numericInput("scalefactor", "multfac", min=1, max=50, value=10,step=1), | |
sliderInput("blursig", "sigma for blur", min=1, max=100, value=50) |
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#tabix Lung.tsv.gz 1:1-300000000 > lung.chr1.tsv | |
#tabix Lung.tsv.gz 2:1-300000000 > lung.chr2.tsv | |
#tabix Lung.tsv.gz 3:1-300000000 > lung.chr3.tsv | |
#tabix Lung.tsv.gz 4:1-300000000 > lung.chr4.tsv | |
#tabix Lung.tsv.gz 5:1-300000000 > lung.chr5.tsv | |
#tabix Lung.tsv.gz 6:1-300000000 > lung.chr6.tsv | |
#tabix Lung.tsv.gz 7:1-300000000 > lung.chr7.tsv | |
#tabix Lung.tsv.gz 8:1-300000000 > lung.chr8.tsv | |
#tabix Lung.tsv.gz 9:1-300000000 > lung.chr9.tsv | |
#tabix Lung.tsv.gz 10:1-300000000 > lung.chr10.tsv |
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# retrieve these from https://mghp.osn.xsede.org/bir190004-bucket01/BiocXenData/ | |
#-rw-r--r-- 1 exouser exouser 3300521324 Mar 20 21:17 transcripts.parquet | |
#-rw-r--r-- 1 exouser exouser 68454210 Mar 20 21:16 nucleus_boundaries.parquet | |
#-rw-r--r-- 1 exouser exouser 73791358 Mar 20 21:15 cell_boundaries.parquet | |
#-rw-r--r-- 1 exouser exouser 242459483 Apr 10 03:46 cell_feature_matrix.tar.gz | |
#-rw-r--r-- 1 exouser exouser 44907408 Mar 20 21:15 cells.csv.gz | |
# tar zxf cell_feature_matrix.tar.gz to obtain folder cell_feature_matrix | |
library(Matrix) |