Man pages for nicohuttmann/htmnanalysis
Analysis of Omics Data

addPreproAdditional preprocessing of raw data
adjacencySimilaryty to adjacency
benjaminiHochbergCorrectionDoes Benjamini-Hochberg correction
build.GOannotaionsBuilds GO annotation database
cgroupsCombines groups
cleanUpCleanup function
cm0Removes columns/proteins based on fraction of entries equal 0
cmnaRemoves columns and rows from correlation matrix with many...
cmsdRemoves columns/proteins based on standard deviation
cmv02Returns column names/proteins that have more entries above 0...
combineANDCombines logical vectors using and
combine.groupsSums up numerical and logical data groupwise
combineORCombines logical vectors using or
connectivityFromCorReturns protein connectivity values from correlation data
connectivityFromCor.relReturns normalized protein connectivity values from...
connectivityFromExprReturns protein connectivity from expression data
connectivityFromExpr.relReturns normalized protein connectivity values from...
contain.listSerches list entries for given element and returns T/F vektor...
corMatrixComputes and plots correlation matrix
cor.objectCreates list containing correlation matrix relevant objects
create_protein.dbCombines protein information from raw data frames
createTraitTableWrites template for traits
ctCuts dendrogram and returns names of proteins from specified...
cvReturns coefficients of variations for columns/ proteins
dPrints all data names
dataProcessingData processing
define.groupsExtracts row names from data frame and let's user define...
enrichGOGO term enrichment using Fisher's exact test
enrichGOGroupsGO term enrichment using Fisher's exact test
extractDataExtracts data frames from raw data
extractRownamesExtracts row names and filters based on columns
extractRownames1Extracts row names and filters based on one column
extractRownames2Extracts row names and filters based on 2 columns
factorizeMatrixDivides each row of a matrix by the elements of the specified...
fisherTestGOPerforms Fisher's exact test for enrichment of GO annotation...
gapplyApplies given function to given groups separately
geomeanComputes the geometric mean
getALLProteinsReturns vector of proteins annotated to given GO term
getDataFind data
getDataFrameFinds and returns data frame
getListDefines basic data list
getMedianNormalizationFactorsReturns factors from PQN normalization
getNamesFinds and returns the column or row names of a data frame
getNumberLet's user define a number
getSampleGroupFinds group vector
getVectorBuilds vector
getVector1Finds and returns one vector
importRawDataImports raw data frame
importTraitDataImports trait table
impute_normdImputes missing values from normal distribution
loadRawDataLoads raw.data from saved rawdata.RData file
make.rangesReturn ranges with given width from numbers
meanAbsCorReturns mean absolute correlation coefficient
meanCorReturns mean correlation coefficient from correlation matrix
medianAbdReturns median abundance of proteins/columns
medianFactorReturns row median of factorized matrix
modifyNamesModify column names of data frame
nReturns normalized data from PQN normalization see...
new.cacheGenerate new cache list
new_datGenerate new data data frame
new_raw_dataGenerate new raw data data frame
nfReturns factors from PQN normalization see...
okOk function to ask for yes or no
plot_corMatrixPlots correlation matrix
plot_dendrogramPlots dendrogram
plot_markerPrints marker bar and lines of proteins for correlation...
plot_varianceDendrogramPlots variances of clusters
plot_venn2Plots venn diagram from three samples
plot_venn3Plots venn diagram from three samples
printnPrints names with numbers
processQualitativeDataSubstitutes qualitative data
removePrefixRemoves vector entries based on specified prefix
save.ggplotSaves ggplots
saveThatShitSaves main data frames
saveThisSaves data in basic data structure
s.cacheSaves cache list in dat or other list
setColRowNamesChanges colnames to universal namees and rownames to proteins...
setSampleGroupsNames a group vector with groups to use
similaritySimilarity from correlation
simplePCASimple PCA plot
start0Start function to build list structures
storeRawDataStores and deletes raw.data
studentstTestPerforms student's t-test and stores data
subsetVectorSet a sub group
transposeDataTranspose data frames
triReduces data frame to vector of lower triangle
ttestdownReturns downregulated proteins from ttest dataframe
ttestupReturns upregulated proteins from ttest dataframe
wdSets given working directory
whatToDoEnables to choose between options
nicohuttmann/htmnanalysis documentation built on Dec. 6, 2020, 3:02 a.m.