diff --git a/.Rhistory b/.Rhistory
new file mode 100644
index 0000000..e69de29
diff --git a/bon_wilsonrnaseq_hsc.R b/bon_wilsonrnaseq_hsc.R
index 781b200..ed89ea2 100644
--- a/bon_wilsonrnaseq_hsc.R
+++ b/bon_wilsonrnaseq_hsc.R
@@ -27,7 +27,7 @@ fcdata = cdata[grepl('hsc', rownames(cdata)),] #select only HSC cells.
 fddata = ddata[grepl('hsc', rownames(ddata)),]
 
 #(3)Filtering expression data.
-result = model_train(cdata=fcdata, ddata=fddata, bmodel=bmodel, istate=istate, preprocess=F, verbose=T)
+result = model_train(cdata=fcdata, ddata=fddata, bmodel=bmodel, istate=istate, verbose=T)
 
 filename = 'bon_wilson_rnaseq_HSC_trained_bmodel.rda'
 save(result, file=filename)
diff --git a/krum_wilson_grow_hsc.R b/krum_wilson_grow_hsc.R
index b18d506..c17dd93 100644
--- a/krum_wilson_grow_hsc.R
+++ b/krum_wilson_grow_hsc.R
@@ -38,7 +38,7 @@ tmp_istate = matrix(round(tmp_istate), nrow=1, dimnames=list(1, names(tmp_istate
 grown_istate = cbind(istate, tmp_istate)
 grown_istate = initialise_data(grown_istate)
 
-result = model_train(cdata=fcdata, ddata=fddata, bmodel=grown_bmodel, istate=grown_istate, preprocess=F, verbose=T)
+result = model_train(cdata=fcdata, ddata=fddata, bmodel=grown_bmodel, istate=grown_istate, verbose=T)
 
 filename = 'krum_wilson_myeloid_grow_trained_bmodel.rda'
 save(result, file=filename)