# HG changeset patch
# User galaxyp
# Date 1550244134 18000
# Node ID 1b875f0b80240533d247439fd925c2c57b62de47
# Parent 1b22c1e7bfe719d7d448890a61e94df44385a56d
planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/cardinal commit f127be2141cf22e269c85282d226eb16fe14a9c1
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 macros.xml
--- a/macros.xml Thu Oct 25 07:29:29 2018 -0400
+++ b/macros.xml Fri Feb 15 10:22:14 2019 -0500
@@ -69,25 +69,92 @@
## Range y coordinates
minimumy = min(coord(msidata)[,2])
maximumy = max(coord(msidata)[,2])
+
+
+ properties = c("Number of m/z features",
+ "Range of m/z values",
+ "Number of pixels",
+ "Range of x coordinates",
+ "Range of y coordinates")
+
+ values = c(paste0(maxfeatures),
+ paste0(minmz, " - ", maxmz),
+ paste0(pixelcount),
+ paste0(minimumx, " - ", maximumx),
+ paste0(minimumy, " - ", maximumy))
+
+ property_df = data.frame(properties, values)
+ ]]>
+
+
+
+ 0, for if conditions
npeaks= sum(spectra(msidata)[]>0, na.rm=TRUE)
+ ## Number of NA in spectra matrix
+ NAcount = sum(is.na(spectra(msidata)[]))
+ ## Number of NA in spectra matrix
+ infcount = sum(is.infinite(spectra(msidata)[]))
properties = c("Number of m/z features",
"Range of m/z values",
"Number of pixels",
"Range of x coordinates",
"Range of y coordinates",
- "Range of intensities")
+ "Range of intensities",
+ "Number of NA intensities",
+ "Number of Inf intensities")
values = c(paste0(maxfeatures),
paste0(minmz, " - ", maxmz),
paste0(pixelcount),
paste0(minimumx, " - ", maximumx),
paste0(minimumy, " - ", maximumy),
- paste0(minint, " - ", maxint))
+ paste0(minint, " - ", maxint),
+ paste0(NAcount),
+ paste0(infcount))
property_df = data.frame(properties, values)
]]>
@@ -144,9 +211,9 @@
-
+ label="MSI data"
+ help="Input file as imzML (composite upload), or Cardinal MSImageSet saved as RData (regular upload)"/>
+
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 preprocessing.xml
--- a/preprocessing.xml Thu Oct 25 07:29:29 2018 -0400
+++ b/preprocessing.xml Fri Feb 15 10:22:14 2019 -0500
@@ -1,4 +1,4 @@
-
+
mass spectrometry imaging preprocessing
@@ -17,15 +17,13 @@
cat '${cardinal_preprocessing}' &&
Rscript '${cardinal_preprocessing}' &&
- #if $imzml_output:
+ #if str($imzml_output) == "imzml_format":
mkdir $outfile_imzml.files_path &&
- ls -l &&
mv ./out.imzML "${os.path.join($outfile_imzml.files_path, 'imzml')}" | true &&
mv ./out.ibd "${os.path.join($outfile_imzml.files_path, 'ibd')}" | true &&
#end if
- echo "imzML file:" > $outfile_imzml &&
- ls -l "$outfile_imzml.files_path" >> $outfile_imzml
-
+ echo "imzML file:" > $outfile_imzml &&
+ ls -l "$outfile_imzml.files_path" >> $outfile_imzml
]]>
@@ -41,24 +39,28 @@
@READING_MSIDATA@
-
## remove duplicated coordinates, otherwise peak picking and log2 transformation will fail
-print(paste0(sum(duplicated(coord(msidata))), " duplicated coordinates were removed"))
-msidata <- msidata[,!duplicated(coord(msidata))]
-
-print(paste0("Number of NA in input file: ",sum(is.na(spectra(msidata)[]))))
+print(paste0(sum(duplicated(coord(msidata)[,1:2])), " duplicated coordinates were removed"))
+msidata <- msidata[,!duplicated(coord(msidata)[,1:2])]
-if (sum(spectra(msidata)[]>0, na.rm=TRUE)> 0){
+if (ncol(msidata)>0 & nrow(msidata) >0){
+
+ ## start QC report
+
+ pdf("Preprocessing.pdf", fonts = "Times", pointsize = 12)
+ plot(0,type='n',axes=FALSE,ann=FALSE)
+ title(main=paste("Quality control during preprocessing \n", "Filename:", "$infile.display_name"))
+
######################### preparations for QC report #################
- maxfeatures = length(features(msidata))
- medianpeaks = median(colSums(spectra(msidata)[]>0, na.rm=TRUE))
- medint = round(median(spectra(msidata)[],na.rm=TRUE), digits=2)
- minmz = round(min(mz(msidata)), digits=2)
- maxmz = round(max(mz(msidata)), digits=2)
- QC_numbers= data.frame(inputdata = c(minmz, maxmz,maxfeatures, medianpeaks, medint))
- vectorofactions = "inputdata"
+ maxfeatures =nrow(msidata)
+ pixelcount = ncol(msidata)
+ minmz = round(min(mz(msidata)), digits=2)
+ maxmz = round(max(mz(msidata)), digits=2)
+ QC_numbers= data.frame(inputdata = c(minmz, maxmz,maxfeatures, pixelcount))
+ vectorofactions = "inputdata"
+ plot(msidata, pixel = 1:pixelcount, main="Average spectrum of input file")
############################### Preprocessing steps ###########################
###############################################################################
@@ -75,14 +77,14 @@
############################### QC ###########################
- maxfeatures = length(features(msidata))
- medianpeaks = median(colSums(spectra(msidata)[]>0, na.rm=TRUE),)
- medint = round(median(spectra(msidata)[], na.rm=TRUE), digits=2)
- minmz = round(min(mz(msidata)), digits=2)
- maxmz = round(max(mz(msidata)), digits=2)
- normalized = c(minmz, maxmz,maxfeatures, medianpeaks, medint)
- QC_numbers= cbind(QC_numbers, normalized)
- vectorofactions = append(vectorofactions, "normalized")
+ maxfeatures =nrow(msidata)
+ pixelcount = ncol(msidata)
+ minmz = round(min(mz(msidata)), digits=2)
+ maxmz = round(max(mz(msidata)), digits=2)
+ normalized = c(minmz, maxmz,maxfeatures, pixelcount)
+ QC_numbers= cbind(QC_numbers, normalized)
+ vectorofactions = append(vectorofactions, "normalized")
+ plot(msidata, pixel = 1:pixelcount, main="Average spectrum after normalization")
############################### Baseline reduction ###########################
@@ -94,14 +96,14 @@
############################### QC ###########################
- maxfeatures = length(features(msidata))
- medianpeaks = median(colSums(spectra(msidata)[]>0, na.rm=TRUE))
- medint = round(median(spectra(msidata)[], na.rm=TRUE), digits=2)
- minmz = round(min(mz(msidata)), digits=2)
- maxmz = round(max(mz(msidata)), digits=2)
- baseline = c(minmz, maxmz,maxfeatures, medianpeaks, medint)
- QC_numbers= cbind(QC_numbers, baseline)
- vectorofactions = append(vectorofactions, "baseline red.")
+ maxfeatures =nrow(msidata)
+ pixelcount = ncol(msidata)
+ minmz = round(min(mz(msidata)), digits=2)
+ maxmz = round(max(mz(msidata)), digits=2)
+ baseline = c(minmz, maxmz,maxfeatures, pixelcount)
+ QC_numbers= cbind(QC_numbers, baseline)
+ vectorofactions = append(vectorofactions, "baseline red.")
+ plot(msidata, pixel = 1:pixelcount, main="Average spectrum after baseline reduction")
############################### Smoothing ###########################
@@ -127,14 +129,14 @@
############################### QC ###########################
- maxfeatures = length(features(msidata))
- medianpeaks = median(colSums(spectra(msidata)[]>0, na.rm=TRUE))
- medint = round(median(spectra(msidata)[], na.rm=TRUE), digits=2)
- minmz = round(min(mz(msidata)), digits=2)
- maxmz = round(max(mz(msidata)), digits=2)
- smoothed = c(minmz, maxmz,maxfeatures, medianpeaks, medint)
- QC_numbers= cbind(QC_numbers, smoothed)
- vectorofactions = append(vectorofactions, "smoothed")
+ maxfeatures =nrow(msidata)
+ pixelcount = ncol(msidata)
+ minmz = round(min(mz(msidata)), digits=2)
+ maxmz = round(max(mz(msidata)), digits=2)
+ smoothed = c(minmz, maxmz,maxfeatures, pixelcount)
+ QC_numbers= cbind(QC_numbers, smoothed)
+ vectorofactions = append(vectorofactions, "smoothed")
+ plot(msidata, pixel = 1:pixelcount, main="Average spectrum after smoothing")
############################### Peak picking ###########################
@@ -161,14 +163,14 @@
############################### QC ###########################
- maxfeatures = length(features(msidata))
- medianpeaks = median(colSums(spectra(msidata)[]>0, na.rm=TRUE))
- medint = round(median(spectra(msidata)[], na.rm=TRUE), digits=2)
- minmz = round(min(mz(msidata)), digits=2)
- maxmz = round(max(mz(msidata)), digits=2)
- picked = c(minmz, maxmz,maxfeatures, medianpeaks, medint)
- QC_numbers= cbind(QC_numbers, picked)
- vectorofactions = append(vectorofactions, "picked")
+ maxfeatures =nrow(msidata)
+ pixelcount = ncol(msidata)
+ minmz = round(min(mz(msidata)), digits=2)
+ maxmz = round(max(mz(msidata)), digits=2)
+ picked = c(minmz, maxmz,maxfeatures, pixelcount)
+ QC_numbers= cbind(QC_numbers, picked)
+ vectorofactions = append(vectorofactions, "picked")
+ plot(msidata, pixel = 1:pixelcount, main="Average spectrum after peak picking")
############################### Peak alignment ###########################
@@ -208,14 +210,14 @@
############################### QC ###########################
- maxfeatures = length(features(msidata))
- medianpeaks = median(colSums(spectra(msidata)[]>0, na.rm=TRUE))
- medint = round(median(spectra(msidata)[], na.rm=TRUE), digits=2)
- minmz = round(min(mz(msidata)), digits=2)
- maxmz = round(max(mz(msidata)), digits=2)
- aligned = c(minmz, maxmz,maxfeatures, medianpeaks, medint)
- QC_numbers= cbind(QC_numbers, aligned)
- vectorofactions = append(vectorofactions, "aligned")
+ maxfeatures =nrow(msidata)
+ pixelcount = ncol(msidata)
+ minmz = round(min(mz(msidata)), digits=2)
+ maxmz = round(max(mz(msidata)), digits=2)
+ aligned = c(minmz, maxmz,maxfeatures, pixelcount)
+ QC_numbers= cbind(QC_numbers, aligned)
+ vectorofactions = append(vectorofactions, "aligned")
+ plot(msidata, pixel = 1:pixelcount, main="Average spectrum after alignment")
############################### Peak filtering ###########################
@@ -226,14 +228,14 @@
############################### QC ###########################
- maxfeatures = length(features(msidata))
- medianpeaks = median(colSums(spectra(msidata)[]>0, na.rm=TRUE))
- medint = round(median(spectra(msidata)[], na.rm=TRUE), digits=2)
- minmz = round(min(mz(msidata)), digits=2)
- maxmz = round(max(mz(msidata)), digits=2)
- filtered = c(minmz, maxmz,maxfeatures, medianpeaks, medint)
- QC_numbers= cbind(QC_numbers, filtered)
- vectorofactions = append(vectorofactions, "filtered")
+ maxfeatures =nrow(msidata)
+ pixelcount = ncol(msidata)
+ minmz = round(min(mz(msidata)), digits=2)
+ maxmz = round(max(mz(msidata)), digits=2)
+ filtered = c(minmz, maxmz,maxfeatures, pixelcount)
+ QC_numbers= cbind(QC_numbers, filtered)
+ vectorofactions = append(vectorofactions, "filtered")
+ plot(msidata, pixel = 1:pixelcount, main="Average spectrum after filtering")
############################### Data reduction ###########################
@@ -247,8 +249,11 @@
## optional: replace NA with 0
#if $method.methods_conditional.methods_for_reduction.replace_NA_bin:
+ ## binning seems to create normal R matrix but to be sure:
+ iData(msidata) <- iData(msidata)[]
+ ## count and replace NAs
print(paste0("Number of NA that were set to zero after binning:",sum(is.na(spectra(msidata)[]))))
- spectra(msidata)[][is.na(spectra(msidata)[])] = 0
+ spectra(msidata)[is.na(spectra(msidata))] = 0
#end if
#elif str( $method.methods_conditional.methods_for_reduction.reduction_method) == 'resample':
@@ -275,24 +280,27 @@
#end if
############################### QC ###########################
- maxfeatures = length(features(msidata))
- medianpeaks = median(colSums(spectra(msidata)[]>0, na.rm=TRUE))
- medint = round(median(spectra(msidata)[], na.rm=TRUE), digits=2)
- minmz = round(min(mz(msidata)), digits=2)
- maxmz = round(max(mz(msidata)), digits=2)
- reduced = c(minmz, maxmz,maxfeatures, medianpeaks, medint)
- QC_numbers= cbind(QC_numbers, reduced)
- vectorofactions = append(vectorofactions, "reduced")
+ maxfeatures =nrow(msidata)
+ pixelcount = ncol(msidata)
+ minmz = round(min(mz(msidata)), digits=2)
+ maxmz = round(max(mz(msidata)), digits=2)
+ reduced = c(minmz, maxmz,maxfeatures, pixelcount)
+ QC_numbers= cbind(QC_numbers, reduced)
+ vectorofactions = append(vectorofactions, "reduced")
+ plot(msidata, pixel = 1:pixelcount, main="Average spectrum after data reduction")
############################### Transformation ###########################
#elif str( $method.methods_conditional.preprocessing_method) == 'Transformation':
print('Transformation')
+ ## convert data into R matrix what brings it automatically into memory and can take some take but next steps need R matrix
+ iData(msidata) <- iData(msidata)[]
+
#if str( $method.methods_conditional.transf_conditional.trans_type) == 'log2':
print('log2 transformation')
- ## replace 0 with NA
+ ## replace 0 with NA to prevent Inf
spectra_df = spectra(msidata)[]
spectra_df[spectra_df ==0] = NA
print(paste0("Number of 0 which were converted into NA:",sum(is.na(spectra_df))))
@@ -313,14 +321,14 @@
############################### QC ###########################
- maxfeatures = length(features(msidata))
- medianpeaks = median(colSums(spectra(msidata)[]>0, na.rm=TRUE))
- medint = round(median(spectra(msidata)[], na.rm=TRUE), digits=2)
- minmz = round(min(mz(msidata)), digits=2)
- maxmz = round(max(mz(msidata)), digits=2)
- transformed = c(minmz, maxmz,maxfeatures, medianpeaks, medint)
- QC_numbers= cbind(QC_numbers, transformed)
- vectorofactions = append(vectorofactions, "transformed")
+ maxfeatures =nrow(msidata)
+ pixelcount = ncol(msidata)
+ minmz = round(min(mz(msidata)), digits=2)
+ maxmz = round(max(mz(msidata)), digits=2)
+ transformed = c(minmz, maxmz,maxfeatures, pixelcount)
+ QC_numbers= cbind(QC_numbers, transformed)
+ vectorofactions = append(vectorofactions, "transformed")
+ plot(msidata, pixel = 1:pixelcount, main="Average spectrum after transformation")
#end if
#end for
@@ -328,24 +336,19 @@
############# Outputs: RData, imzml and QC report #############
################################################################################
- print(paste0("Number of NA in output file: ",sum(is.na(spectra(msidata)[]))))
-
- ## save as (.RData)
- save(msidata, file="$msidata_preprocessed")
+ ## save msidata as imzML file, will only work if there is at least 1 m/z left
- ## save msidata as imzML file, will only work if there is at least 1 m/z left
- #if $imzml_output:
+ #if str($imzml_output) == "imzml_format":
if (nrow(msidata) > 0){
-print("write outputfile")
writeImzML(msidata, "out")}
+ #elif str($imzml_output) == "rdata_format":
+ ## save as (.RData)
+ iData(msidata) = iData(msidata)[]
+ save(msidata, file="$outfile_rdata")
#end if
- ## save QC report
-
- pdf("Preprocessing.pdf", fonts = "Times", pointsize = 12)
plot(0,type='n',axes=FALSE,ann=FALSE)
- title(main=paste("Quality control during preprocessing \n", "Filename:", "$infile.display_name"))
- rownames(QC_numbers) = c("min m/z", "max mz", "# features", "median\n# peaks", "median\nintensity")
+ rownames(QC_numbers) = c("min m/z", "max mz", "# features", "# spectra")
grid.table(t(QC_numbers))
dev.off()
@@ -361,7 +364,7 @@
-
+
@@ -528,14 +531,20 @@
-
+
+
+
+
-
+
+ imzml_output=='imzml_format'
+
+
+ imzml_output == 'rdata_format'
+
-
- imzml_output
-
@@ -591,8 +600,12 @@
-
+
+
@@ -615,8 +628,12 @@
-
+
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@@ -645,8 +662,12 @@
-
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@@ -661,8 +682,12 @@
-
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+
@@ -675,7 +700,8 @@
-
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+
@@ -710,11 +736,11 @@
**Output**
-- MSI data as .RData output (can be read with the Cardinal package in R)
-- optional: MSI data as imzML file
-- pdf with key values after each processing step
+- MSI data as imzML file or .RData (can be read with the Cardinal package in R)
+- pdf with key values and average mass spectra after each processing step
]]>
+
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/112_auto_combined.RData
Binary file test-data/112_auto_combined.RData has changed
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/112_auto_combined.ibd
Binary file test-data/112_auto_combined.ibd has changed
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/112_auto_combined.imzml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/112_auto_combined.imzml Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,475 @@
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/112_auto_combined.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/112_auto_combined.imzml.txt Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,4 @@
+imzML file:
+total 556
+-rw-r--r-- 1 meli meli 537552 Feb 12 12:25 ibd
+-rw-r--r-- 1 meli meli 25466 Feb 12 12:25 imzml
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/112_auto_combined_QC.pdf
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/123_annotation.ibd
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/123_annotation.imzml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/123_annotation.imzml Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,394 @@
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/123_auto_combined.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/123_auto_combined.imzml.txt Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,4 @@
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/123_combined_auto.imzml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/123_combined_auto.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/123_combined_auto.imzml.txt Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,4 @@
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/123_combined_auto.pdf
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/123_combined_auto.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/123_combined_auto.tabular Fri Feb 15 10:22:14 2019 -0500
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/features_test2.tabular
--- a/test-data/features_test2.tabular Thu Oct 25 07:29:29 2018 -0400
+++ b/test-data/features_test2.tabular Fri Feb 15 10:22:14 2019 -0500
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/features_test4.tabular
--- a/test-data/features_test4.tabular Thu Oct 25 07:29:29 2018 -0400
+++ b/test-data/features_test4.tabular Fri Feb 15 10:22:14 2019 -0500
@@ -1,101 +1,101 @@
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/features_test6.tabular
--- a/test-data/features_test6.tabular Thu Oct 25 07:29:29 2018 -0400
+++ b/test-data/features_test6.tabular Fri Feb 15 10:22:14 2019 -0500
@@ -1,21 +1,21 @@
mz r k s classes centers tstatistics p.values adj.p.values
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/features_test7.tabular
--- a/test-data/features_test7.tabular Thu Oct 25 07:29:29 2018 -0400
+++ b/test-data/features_test7.tabular Fri Feb 15 10:22:14 2019 -0500
@@ -1,101 +1,101 @@
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--- a/test-data/loadings_pca.tabular Thu Oct 25 07:29:29 2018 -0400
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out3.ibd
Binary file test-data/out3.ibd has changed
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out3.imzml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out3.imzml Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,151 @@
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out3.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out3.imzml.txt Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,4 @@
+imzML file:
+total 24
+-rw-r--r-- 1 meli meli 9616 Feb 12 19:18 ibd
+-rw-r--r-- 1 meli meli 8282 Feb 12 19:18 imzml
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out4.ibd
Binary file test-data/out4.ibd has changed
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out4.imzml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out4.imzml Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,205 @@
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out4.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out4.imzml.txt Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,4 @@
+imzML file:
+total 44
+-rw-r--r-- 1 meli meli 28792 Feb 12 00:49 ibd
+-rw-r--r-- 1 meli meli 11141 Feb 12 00:49 imzml
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out5.ibd
Binary file test-data/out5.ibd has changed
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out5.imzml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out5.imzml Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,232 @@
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out5.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out5.imzml.txt Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,4 @@
+imzML file:
+total 20
+-rw-r--r-- 1 meli meli 380 Feb 12 00:50 ibd
+-rw-r--r-- 1 meli meli 12508 Feb 12 00:50 imzml
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out6.ibd
Binary file test-data/out6.ibd has changed
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out6.imzml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out6.imzml Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,313 @@
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out6.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out6.imzml.txt Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,4 @@
+imzML file:
+total 164
+-rw-r--r-- 1 meli meli 146896 Feb 12 00:51 ibd
+-rw-r--r-- 1 meli meli 16868 Feb 12 00:51 imzml
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out7.ibd
Binary file test-data/out7.ibd has changed
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out7.imzml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out7.imzml Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,313 @@
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/out7.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out7.imzml.txt Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,4 @@
+imzML file:
+total 116
+-rw-r--r-- 1 meli meli 95976 Feb 12 00:51 ibd
+-rw-r--r-- 1 meli meli 16846 Feb 12 00:51 imzml
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/pca_imzml.pdf
Binary file test-data/pca_imzml.pdf has changed
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/pixel_out2.tabular
--- a/test-data/pixel_out2.tabular Thu Oct 25 07:29:29 2018 -0400
+++ b/test-data/pixel_out2.tabular Fri Feb 15 10:22:14 2019 -0500
@@ -1,10 +1,10 @@
-spectra_names x_values y_values pixel_order peaks_per_spectrum spectrum_TIC most_abundant_mz annotation
-xy_1_1 1 1 1 3672 42479 1267.525390625 col1
-xy_2_1 2 1 2 3672 29179 1264.42407226562 col2
-xy_3_1 3 1 3 3672 37005 1267.525390625 col3
-xy_1_2 1 2 4 3672 42306 1264.38171386719 col1
-xy_2_2 2 2 5 3672 30350 1267.525390625 col2
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-xy_2_3 2 3 8 3672 33204 1267.48278808594 col2
-xy_3_3 3 3 9 3672 37961 1199.55615234375 col3
+spectra_names x_values y_values pixel_order peaks_per_spectrum median_intensity spectrum_TIC maximum_intensity most_abundant_mz annotation
+xy_1_1 1 1 1 3672 11 42479 43 1267.525390625 col1
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+xy_3_1 3 1 3 3672 9 37005 42 1267.525390625 col3
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+xy_3_3 3 3 9 3672 10 37961 47 1199.55615234375 col3
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/pixel_out3.tabular
--- a/test-data/pixel_out3.tabular Thu Oct 25 07:29:29 2018 -0400
+++ b/test-data/pixel_out3.tabular Fri Feb 15 10:22:14 2019 -0500
@@ -1,10 +1,10 @@
-spectra_names x_values y_values pixel_order peaks_per_spectrum spectrum_TIC most_abundant_mz input m/z count
-xy_1_1 1 1 1 241 22.92 329.083343505859 0
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-xy_1_2 1 2 4 343 39.62 329 0
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-xy_3_2 3 2 6 194 10.79 345.083343505859 0
-xy_1_3 1 3 7 308 14.68 328.916687011719 0
-xy_2_3 2 3 8 367 24.87 329 0
-xy_3_3 3 3 9 323 35.18 329.083343505859 0
+spectra_names x_values y_values pixel_order peaks_per_spectrum median_intensity spectrum_TIC maximum_intensity most_abundant_mz m/z count
+xy_1_1 1 1 1 241 0 22.92 2.48 329.083343505859 0
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+xy_3_3 3 3 9 323 0 35.18 1.73 329.083343505859 0
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessed.rdata
Binary file test-data/preprocessed.rdata has changed
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results1.RData
Binary file test-data/preprocessing_results1.RData has changed
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results1.ibd
Binary file test-data/preprocessing_results1.ibd has changed
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results1.imzml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/preprocessing_results1.imzml Fri Feb 15 10:22:14 2019 -0500
@@ -0,0 +1,313 @@
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results1.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results1.pdf
Binary file test-data/preprocessing_results1.pdf has changed
diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results1.txt
--- a/test-data/preprocessing_results1.txt Thu Oct 25 07:29:29 2018 -0400
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results2.ibd
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results2.imzml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results2.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results2.pdf
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results3.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results4.imzml.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results4.txt
--- a/test-data/preprocessing_results4.txt Thu Oct 25 07:29:29 2018 -0400
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-mz x = 1, y = 1 x = 2, y = 1 x = 3, y = 1 x = 1, y = 2 x = 2, y = 2 x = 3, y = 2 x = 1, y = 3 x = 2, y = 3 x = 3, y = 3
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diff -r 1b22c1e7bfe7 -r 1b875f0b8024 test-data/preprocessing_results5.txt
--- a/test-data/preprocessing_results5.txt Thu Oct 25 07:29:29 2018 -0400
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,100 +0,0 @@
- x = 1, y = 1 x = 2, y = 1 x = 3, y = 1 x = 1, y = 2 x = 2, y = 2 x = 3, y = 2 x = 1, y = 3 x = 2, y = 3 x = 3, y = 3
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--- a/test-data/scores_pca.tabular Thu Oct 25 07:29:29 2018 -0400
+++ b/test-data/scores_pca.tabular Fri Feb 15 10:22:14 2019 -0500
@@ -1,10 +1,10 @@
pixel names x y PC1 PC2
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