## run setParameters.R
source("setParameters.R")
## run setUp.R
source("setUp.R")
args <- commandArgs(TRUE);
CORES <- as.numeric(args[1])
LOCALPATH <- as.character(args[2])
RUNS <- as.numeric(args[3])
NR <- as.numeric(55905)
if( CORES != nCORES ){
nCORES = CORES
}
## probably need to change this, but fuseDataset will always perform 1 run,
## so first remove 1 from RUNS.
RUNS = RUNS-1
if( RUNS <= 0 ) { RUNS = 0; }
if( RUNS >= 10 ){ RUNS = 9; }
cat("nCORES : ", nCORES, "\n")
cat("LOCALPATH: ", LOCALPATH,"\n")
cat("RUNS : ", RUNS, "\n")
cat("NR : ", NR,"\n")
run <- vector(length=2)
run[1] = 1 # copy and load global matrices for each dataset
run[2] = 1 # find candidate edges from datasets
#----------------------------------
# done
#----------------------------------
#----------------------------------
# initialise new fusion model (fuse.cpp)
#----------------------------------
cat("#----------------------------------\n")
cat("# create model \n")
cat("#----------------------------------\n")
#create model first
cat("creating model..."); rfuse::createModel(); cat("done.\n");
#------
cat("#----------------------------------\n")
cat("# done \n")
cat("#----------------------------------\n")
#----------------------------------
# done
#----------------------------------
if( run[1] ){
#----------------------------------
# copy and load matrices for each dataset
#----------------------------------
cat("#----------------------------------\n")
cat("# copy and load matrices for each dataset\n")
cat("#----------------------------------\n")
cat("#----------------------------------\n")
cat("# copy bms dataset\n")
cat("#----------------------------------\n")
#bms
g=1
PATHS[2]=sprintf("%s/%s",PATHS[1],datasets[g,1])
PATHS[5]=sprintf("%s/MATRIX/%s",PATHS[2],ashort[thres])
copyDataset( DATASET=datasets[g,1], PATH=PATHS[5] )
changeBK ( DATASET=datasets[g,1], LOCALPATH=LOCALPATH )
Pbms = readRDS(sprintf("%s_Pr.rds",datasets[g,1]))
##record the global matrix size
NR = as.numeric(Pbms$nrow)
rm(Pbms); gc();
loadDataset( DATASET=datasets[g,1], SET=c(1), nCORES=nCORES, FUSE=FALSE );
cat("#----------------------------------\n")
cat("# done \n")
cat("#----------------------------------\n")
cat("#----------------------------------\n")
cat("# copy scq dataset\n")
cat("#----------------------------------\n")
#scq
g=2
PATHS[2]=sprintf("%s/%s",PATHS[1],datasets[g,1])
PATHS[5]=sprintf("%s/MATRIX/%s",PATHS[2],ashort[thres])
copyDataset( DATASET=datasets[g,1], PATH=PATHS[5] )
changeBK ( DATASET=datasets[g,1], LOCALPATH=LOCALPATH )
loadDataset( DATASET=datasets[g,1], SET=c(2), nCORES=nCORES, FUSE=FALSE );
cat("#----------------------------------\n")
cat("# done \n")
cat("#----------------------------------\n")
if( buildASD == TRUE ){
cat("#----------------------------------\n")
cat("# copy rbsr dataset\n")
cat("#----------------------------------\n")
#rbsr
g=3
PATHS[2]=sprintf("%s/%s",PATHS[1],datasets[g,1])
PATHS[5]=sprintf("%s/MATRIX/%s",PATHS[2],ashort[thres])
copyDataset( DATASET=datasets[g,1], PATH=PATHS[5] )
changeBK ( DATASET=datasets[g,1], LOCALPATH=LOCALPATH )
loadDataset( DATASET=datasets[g,1], SET=c(3), nCORES=nCORES, FUSE=FALSE );
cat("#----------------------------------\n")
cat("# done \n")
cat("#----------------------------------\n")
cat("#----------------------------------\n")
cat("# copy dcdq dataset\n")
cat("#----------------------------------\n")
#dcdq
g=4
PATHS[2]=sprintf("%s/%s",PATHS[1],datasets[g,1])
PATHS[5]=sprintf("%s/MATRIX/%s",PATHS[2],ashort[thres])
copyDataset( DATASET=datasets[g,1], PATH=PATHS[5] )
changeBK ( DATASET=datasets[g,1], LOCALPATH=LOCALPATH )
loadDataset( DATASET=datasets[g,1], SET=c(4), nCORES=nCORES, FUSE=FALSE );
cat("#----------------------------------\n")
cat("# done \n")
cat("#----------------------------------\n")
}
}#run1
if( run[2] ){
#----------------------------------
# find candiate edges from datasets
#----------------------------------
cat("#----------------------------------\n")
cat("# find candiate edges from datasets\n")
cat("#----------------------------------\n")
## create the global fused probability matrix on disk and link to it.
Ced = FBM(NR,NR,backingfile=file.path(LOCALPATH,candEd[1]),FBMtype[FBMt])
#----
cat("get candidate edges...\n");
if( buildASD == TRUE ){
cat("ASD network, \n");
nTHREADS=nCORES
res = rfuse::findASDedges(Ced, nCORES);
normalisePc( Ced, nCORES )
} else {
cat("control network, \n");
nTHREADS=nCORES
res = rfuse::findCONTROLedges(Ced, nCORES);
normalisePc( Ced, nCORES )
}
cat("done.\n")
## write results table
write.table(res$RESULT,sprintf("%s/%s.csv",LOCALPATH,candEd[1]),row.names=,col.names=T,quote=F)
## save the global fused probability matrix
Ced$save();
rm(Ced); gc();
## new output path for Pc
PATHS[3]=sprintf("%s/%s",DIRS[1],"buildnetwork")
PATHS[5]=sprintf("%s/MATRIX/%s",PATHS[3],ashort[thres])
## copy Pc to output dir
copy2OutDir( DATASET=candEd[1], LOCALPATH=LOCALPATH, OUTPATH=PATHS[5] );
cat("#----------------------------------\n")
cat("# done \n")
cat("#----------------------------------\n")
}#run2
#----------------------------------
# delete fusion model (fuse.cpp)
#----------------------------------
cat("#----------------------------------\n")
cat("# delete fusion model \n")
cat("#----------------------------------\n")
#delete model
cat("deleting model..."); rfuse::deleteModel(); cat("done.\n");
cat("#----------------------------------\n")
cat("# done \n")
cat("#----------------------------------\n")
#----------------------------------
# done
#----------------------------------
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