# This file is intended as a variant of Analysis.R that is permitted to change
# rapidly, without formal description and documentation keeping pace at every
# step.
library(eIF4F.analysis)
library(log4r)
library(R.utils)
require(ReactomePA)
require(reactome.db)
R.utils::setOption("clusterProfiler.download.method", "wget")
my_logfile = "~/eIF4F.analysis.log.txt"
my_logger <- log4r::logger(threshold = "INFO",
appenders = list(
console_appender(layout = default_log_layout()),
file_appender(my_logfile, append = TRUE,
layout = default_log_layout())
))
log4r::info(my_logger, "initializing output dir")
initialize_dir()
log4r::info(my_logger, "initializing formats")
initialize_format()
log4r::info(my_logger, "initializing CNV data")
initialize_cnv_data()
log4r::info(my_logger, "initializing RNAseq data")
initialize_RNAseq_data()
log4r::info(my_logger, "initializing survival data")
initialize_survival_data()
log4r::info(my_logger, "initializing proteomics data")
initialize_proteomics_data()
log4r::info(my_logger, "initializing phosphoproteomics data")
initialize_phosphoproteomics_data()
log4r::info(my_logger, "analyzing CNV data")
EIF4F_CNV_analysis()
log4r::info(my_logger, "analyzing DEG data")
EIF4F_DEG_analysis()
log4r::info(my_logger, "analyzing Survival data")
EIF4F_Survival_analysis()
log4r::info(my_logger, "performing PCA")
EIF4F_PCA()
log4r::info(my_logger, "RNA pro_correlation")
EIF4F_RNA_pro_correlation()
log4r::info(my_logger, "proteomics analysis")
EIF4F_Proteomics_analysis()
log4r::info(my_logger, "correlation analysis")
EIF4F_Corrgene_analysis()
log4r::info(my_logger, "all analyses complete")
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