Package 'HTGM4D' reference manual

Title:	Four Dimensional High Throughput 'GoMiner'
Description:	The Gene Ontology (GO) Consortium <https://geneontology.org/> organizes genes into hierarchical categories based on biological process (BP), molecular function (MF) and cellular component (CC, i.e., subcellular localization). Tools such as 'GoMiner' (see Zeeberg, B.R., Feng, W., Wang, G. et al. (2003) <doi:10.1186/gb-2003-4-4-r28>) can leverage GO to perform ontological analysis of microarray and proteomics studies, typically generating a list of significant functional categories. Microarray studies are usually analyzed with BP, whereas proteomics researchers often prefer CC. To capture the benefit of both of those ontologies, I now present an enhancement of the existing two-dimensional version of 'High-Throughput GoMiner' ('HTGM2D'), which is called 'HTGM4D'. The original 'HTGM2D' is augmented by adding two instances of the original 'GoMiner' genes versus categories heatmaps, aligned with the categories axes of the 'HTGM2D' heatmap.
Authors:	Barry Zeeberg [aut, cre]
Maintainer:	Barry Zeeberg <[email protected]>
License:	GPL (>= 2)
Version:	1.0
Built:	2026-06-02 09:38:26 UTC
Source:	https://github.com/cran/HTGM4D

buildSubdirs

Description

create the directory structure for the output file

Usage

buildSubdirs(dir)
buildSubdirs(dir)

Arguments

dir

character string path name for the top level output directory

Value

returns no values, but has side effect of creating some subdirectories

Examples

stamp<-gsub(":","_",format(Sys.time(), "%a_%b_%d_%Y_%X"))
dir<-sprintf("%s/%s/",tempdir(),stamp)
dir.create(dir)
print(c("dir: ",dir))
buildSubdirs(dir)

stamp<-gsub(":","_",format(Sys.time(), "%a_%b_%d_%Y_%X"))
dir<-sprintf("%s/%s/",tempdir(),stamp)
dir.create(dir)
print(c("dir: ",dir))
buildSubdirs(dir)

HTGM4D data set

Description

HTGM4D data set

Usage

data(cluster52)
data(cluster52)

combine3SVG

Description

combine 3 svg objects into a single svg object

Usage

combine3SVG(svg1, svg2, svg3, browser = "Safari")
combine3SVG(svg1, svg2, svg3, browser = "Safari")

Arguments

svg1

an svg object, presumably the result of HTGM2D()

svg2

an svg object, presumably the result of GoMiner()

svg3

an svg object, presumably the result of GoMiner()

browser

character string c("Safari","Google Chrome","Firefox","Brave Browser")

Details

sort of works, but rendering of axis labels are distorted for the "below" GoMiner heatmap

Value

returns the composite svg object

Examples

## Not run: 
# must be run in the R Console, NOT from RStudio Console
# because the window for edit() is not rendered properly
# in RStudio Console

svg9<-combine3SVG(x_svg1,x_svg2,x_svg3)

## End(Not run)

## Not run: 
# must be run in the R Console, NOT from RStudio Console
# because the window for edit() is not rendered properly
# in RStudio Console

svg9<-combine3SVG(x_svg1,x_svg2,x_svg3)

## End(Not run)

editor

Description

iteratively invoke edit() to allow user to adjust relative positions of svg's

Usage

editor(svg, lines, m, browser)
editor(svg, lines, m, browser)

Arguments

svg

an svg object

lines

integer vector of svg line numbers

m

numerical matrix of parameter values for svg "transform" tag

browser

character string c("Safari","Google Chrome","Firefox","Brave Browser")

Value

returns an svg object

Examples

## Not run: 
# must be run in the R Console, NOT from RStudio Console
# because the window for edit() is not rendered properly
# in RStudio Console

m<-matrix(nrow=2,ncol=4)
colnames(m)<-c("x","y","scale","rotate")
m[1,]<-c(300,0,.5,0)
m[2,]<-c(150,200,.5,90)
svg9<-editor(x_svg3,x_lines,m,browser="Safari")

## End(Not run)

## Not run: 
# must be run in the R Console, NOT from RStudio Console
# because the window for edit() is not rendered properly
# in RStudio Console

m<-matrix(nrow=2,ncol=4)
colnames(m)<-c("x","y","scale","rotate")
m[1,]<-c(300,0,.5,0)
m[2,]<-c(150,200,.5,90)
svg9<-editor(x_svg3,x_lines,m,browser="Safari")

## End(Not run)

fillLines

Description

insert <g transform line into svg

Usage

fillLines(svg, lines, m)
fillLines(svg, lines, m)

Arguments

svg

an svg object

lines

integer vector of svg line numbers

m

numerical matrix of parameter values for svg "transform" tag

Value

returns an svg object

Examples

m<-matrix(nrow=2,ncol=4)
colnames(m)<-c("x","y","scale","rotate")
m[1,]<-c(300,0,.5,0)
m[2,]<-c(150,200,.5,90)
svg9<-fillLines(x_svg3,x_lines,m)

m<-matrix(nrow=2,ncol=4)
colnames(m)<-c("x","y","scale","rotate")
m[1,]<-c(300,0,.5,0)
m[2,]<-c(150,200,.5,90)
svg9<-fillLines(x_svg3,x_lines,m)

findSVGtags

Description

locate <svg and </svg tags

Usage

findSVGtags(svg)
findSVGtags(svg)

Arguments

svg

svg object

Value

returns a vector containing the line numbers of the tags

Examples

findSVGtags(x_svg1)

findSVGtags(x_svg1)

GoMiner4

Description

version of GoMiner() to use with HTGM4D

Usage

GoMiner4(
  title = NULL,
  dir,
  sampleList,
  GOGOA3,
  ontology,
  enrichThresh = 2,
  countThresh = 5,
  pvalThresh = 0.1,
  fdrThresh = 0.1,
  nrand = 100,
  mn = 2,
  mx = 200,
  opt,
  verbose = 1
)
GoMiner4(
  title = NULL,
  dir,
  sampleList,
  GOGOA3,
  ontology,
  enrichThresh = 2,
  countThresh = 5,
  pvalThresh = 0.1,
  fdrThresh = 0.1,
  nrand = 100,
  mn = 2,
  mx = 200,
  opt,
  verbose = 1
)

Arguments

title

character string descriptive title

dir

character string full pathname to the directory acting result repository

sampleList

character list of gene names

GOGOA3

return value of subsetGOGOA()

ontology

character string c("molecular_function", "cellular_component", "biological_process")

enrichThresh

numerical acceptance threshold for enrichment

countThresh

numerical acceptance threshold for gene count

pvalThresh

numerical acceptance threshold for pval

fdrThresh

numerical acceptance threshold for fdr

nrand

numeric number of randomizations to compute FDR

mn

integer param passed to trimGOGOA3, min size threshold for a category

mx

integer param passed to trimGOGOA3, max size threshold for a category

opt

integer 0:1 parameter used to select randomization method

verbose

integer vector representing classes

Details

see full details in the original GoMiner() this version differs from the original GoMiner in returning "heatmap" now. I should make the original GoMiner, but I am afraid of breaking several programs that invoke the original GoMiner.

Value

returns a list whose elements are an svg object and a heatmap

Examples

## Not run: 
# GOGOA3.RData is too large to include in the R package
# so I need to load it from a file that is not in the package.
# Since this is in a file in my own file system, I could not
# include this as a regular example in the package.
# you can generate it using the package 'minimalistGODB'
# or you can retrieve it from https://github.com/barryzee/GO/tree/main/databases
load("/Users/barryzeeberg/personal/GODB_RDATA/goa_human/GOGOA3_goa_human.RData")

stamp<-gsub(":","_",format(Sys.time(), "%a_%b_%d_%Y_%X"))
dir<-sprintf("%s/%s/",tempdir(),stamp)
dir.create(dir)
print(c("dir: ",dir))
buildSubdirs(dir)

l<-GoMiner4("Cluster52",dir,cluster52,
 GOGOA3=GOGOA3,ontology="biological_process",enrichThresh=2,
 countThresh=5,pvalThresh=0.10,fdrThresh=0.10,nrand=2,mn=2,mx=200,opt=0,verbose=1)

## End(Not run)

## Not run: 
# GOGOA3.RData is too large to include in the R package
# so I need to load it from a file that is not in the package.
# Since this is in a file in my own file system, I could not
# include this as a regular example in the package.
# you can generate it using the package 'minimalistGODB'
# or you can retrieve it from https://github.com/barryzee/GO/tree/main/databases
load("/Users/barryzeeberg/personal/GODB_RDATA/goa_human/GOGOA3_goa_human.RData")

stamp<-gsub(":","_",format(Sys.time(), "%a_%b_%d_%Y_%X"))
dir<-sprintf("%s/%s/",tempdir(),stamp)
dir.create(dir)
print(c("dir: ",dir))
buildSubdirs(dir)

l<-GoMiner4("Cluster52",dir,cluster52,
 GOGOA3=GOGOA3,ontology="biological_process",enrichThresh=2,
 countThresh=5,pvalThresh=0.10,fdrThresh=0.10,nrand=2,mn=2,mx=200,opt=0,verbose=1)

## End(Not run)

HTGM4D

Description

run 4D version of GoMiner

Usage

HTGM4D(dir, geneList, ontologies, GOGOA3)
HTGM4D(dir, geneList, ontologies, GOGOA3)

Arguments

dir

character string full path name to the directory acting as result repository

geneList

character vector of user-supplied genes of interest

ontologies

character vector of 2 ontologies e.g. c("biological_process","cellular_component")

GOGOA3

return value of subsetGOGOA()

Value

returns a list containing the return value of Jaccard() and JaccardHeatMap4()

Examples

## Not run: 
# GOGOA3.RData is too large to include in the R package
# so I need to load it from a file that is not in the package.
# Since this is in a file in my own file system, I could not
# include this as a regular example in the package.
# you can generate it using the package 'minimalistGODB'
# or you can retrieve it from https://github.com/barryzee/GO/tree/main/databases
load("/Users/barryzeeberg/personal/GODB_RDATA/goa_human/GOGOA3_goa_human.RData")

stamp<-gsub(":","_",format(Sys.time(), "%a_%b_%d_%Y_%X"))
dir<-sprintf("%s/%s/",tempdir(),stamp)
dir.create(dir)
print(c("dir: ",dir))
buildSubdirs(dir)

geneList<-cluster52
ontologies<-c("biological_process","cellular_component")
mat<-HTGM4D(dir,geneList,ontologies,GOGOA3)

## End(Not run)

## Not run: 
# GOGOA3.RData is too large to include in the R package
# so I need to load it from a file that is not in the package.
# Since this is in a file in my own file system, I could not
# include this as a regular example in the package.
# you can generate it using the package 'minimalistGODB'
# or you can retrieve it from https://github.com/barryzee/GO/tree/main/databases
load("/Users/barryzeeberg/personal/GODB_RDATA/goa_human/GOGOA3_goa_human.RData")

stamp<-gsub(":","_",format(Sys.time(), "%a_%b_%d_%Y_%X"))
dir<-sprintf("%s/%s/",tempdir(),stamp)
dir.create(dir)
print(c("dir: ",dir))
buildSubdirs(dir)

geneList<-cluster52
ontologies<-c("biological_process","cellular_component")
mat<-HTGM4D(dir,geneList,ontologies,GOGOA3)

## End(Not run)

HTGM4Ddriver

Description

driver to invoke GoMiner and HTGM4D, and compare the results

Usage

HTGM4Ddriver(
  dir,
  geneList,
  ontologies,
  GOGOA3,
  enrichThresh = 2,
  countThresh = 5,
  pvalThresh = 0.1,
  fdrThresh = 0.1,
  nrand = 100,
  mn,
  mx,
  opt = 0,
  SVG3 = FALSE,
  browser = "Safari",
  verbose = 1
)
HTGM4Ddriver(
  dir,
  geneList,
  ontologies,
  GOGOA3,
  enrichThresh = 2,
  countThresh = 5,
  pvalThresh = 0.1,
  fdrThresh = 0.1,
  nrand = 100,
  mn,
  mx,
  opt = 0,
  SVG3 = FALSE,
  browser = "Safari",
  verbose = 1
)

Arguments

dir

character string full path name to the directory acting as result repository

geneList

character vector of user-supplied genes of interest

ontologies

character vector of 2 ontologies e.g. c("biological_process","cellular_component")

GOGOA3

return value of subsetGOGOA()

enrichThresh

numerical acceptance threshold for enrichment passed to GoMiner

countThresh

numerical acceptance threshold for gene count passed to GoMiner

pvalThresh

numerical acceptance threshold for pval

fdrThresh

numerical acceptance threshold for fdr

nrand

numeric number of randomizations to compute FDR

mn

integer param passed to trimGOGOA3, min size threshold for a category

mx

integer param passed to trimGOGOA3, max size threshold for a category

opt

integer 0:1 parameter used to select randomization method

SVG3

Boolean if TRUE invoke combine3SVG()

browser

character string c("Safari","Google Chrome","Firefox","Brave Browser")

verbose

integer vector representing classes

Value

returns the path name of the output subdirectory

Examples

## Not run: 
# must be run in the R Console, NOT from RStudio Console
# because the window for edit() is not rendered properly
# in RStudio Console

# GOGOA3.RData is too large to include in the R package
# so I need to load it from a file that is not in the package.
# Since this is in a file in my own file system, I could not
# include this as a regular example in the package.
# you can generate it using the package 'minimalistGODB'
# or you can retrieve it from https://github.com/barryzee/GO/tree/main/databases
load("/Users/barryzeeberg/personal/GODB_RDATA/goa_human/GOGOA3_goa_human.RData")
geneList<-cluster52
ontologies<-c("biological_process","cellular_component")
dir<-tempdir()
odir<-HTGM4Ddriver(dir,geneList,ontologies,GOGOA3,enrichThresh=2,
 countThresh=5,pvalThresh=0.10,fdrThresh=0.10,nrand=100,mn=2,mx=2000)

## End(Not run)

## Not run: 
# must be run in the R Console, NOT from RStudio Console
# because the window for edit() is not rendered properly
# in RStudio Console

# GOGOA3.RData is too large to include in the R package
# so I need to load it from a file that is not in the package.
# Since this is in a file in my own file system, I could not
# include this as a regular example in the package.
# you can generate it using the package 'minimalistGODB'
# or you can retrieve it from https://github.com/barryzee/GO/tree/main/databases
load("/Users/barryzeeberg/personal/GODB_RDATA/goa_human/GOGOA3_goa_human.RData")
geneList<-cluster52
ontologies<-c("biological_process","cellular_component")
dir<-tempdir()
odir<-HTGM4Ddriver(dir,geneList,ontologies,GOGOA3,enrichThresh=2,
 countThresh=5,pvalThresh=0.10,fdrThresh=0.10,nrand=100,mn=2,mx=2000)

## End(Not run)

JaccardHeatMap4

Description

use the Jaccard metric to construct HTGM2D heat map

Usage

JaccardHeatMap4(dir, mat)
JaccardHeatMap4(dir, mat)

Arguments

dir

character string containing path name of output directory

mat

return value of Jaccard()

Details

computes heatmap twice, once with and once without axis labels. for the composite svg, the axis labels generate too much screen clutter. the version with axis labels is used only for quality assurance checking.

Value

returns the return value of heatmap.2, and also saves hyperlinked SVG heatmap files to a results directory

Examples


# takes too long to run in CRAN check
stamp<-gsub(":","_",format(Sys.time(), "%a_%b_%d_%Y_%X"))
dir<-sprintf("%s/%s/",tempdir(),stamp)
dir.create(dir)
print(c("dir: ",dir))
buildSubdirs(dir)

jHeatMap<-JaccardHeatMap4(dir,x_jmat)


# takes too long to run in CRAN check
stamp<-gsub(":","_",format(Sys.time(), "%a_%b_%d_%Y_%X"))
dir<-sprintf("%s/%s/",tempdir(),stamp)
dir.create(dir)
print(c("dir: ",dir))
buildSubdirs(dir)

jHeatMap<-JaccardHeatMap4(dir,x_jmat)

mergeGoMinerHTGM2D

Description

match the categories in the results of GoMiner and HTGM2D

Usage

mergeGoMinerHTGM2D(
  dir,
  htgm4d,
  l,
  ontologies,
  fdrThresh,
  doRow = FALSE,
  SVG3 = FALSE,
  browser = "Safari",
  verbose = 4
)
mergeGoMinerHTGM2D(
  dir,
  htgm4d,
  l,
  ontologies,
  fdrThresh,
  doRow = FALSE,
  SVG3 = FALSE,
  browser = "Safari",
  verbose = 4
)

Arguments

dir

character string path name of output directory

htgm4d

return value of HTGM4D()

l

return value of GoMiner4()

ontologies

character vector of 2 ontologies e.g. c("biological_process","cellular_component")

fdrThresh

numeric background value to initialize matrix m

doRow

Boolean param passed to heatmap.2

SVG3

Boolean if TRUE invoke combine3SVG()

browser

character string c("Safari","Google Chrome","Firefox","Brave Browser")

verbose

param passed to vprint()

Value

returns no values but has side effect of saving some .png and .svg images

parseSVGline

Description

scale the width and height parameters of <svg line in svg object

Usage

parseSVGline(svg)
parseSVGline(svg)

Arguments

svg

an svg object

Value

returns modified svg object

Examples

s<-parseSVGline(x_svg1)

s<-parseSVGline(x_svg1)

pngBorder

Description

manual adjustment of border in composite png

Usage

pngBorder(dir, border = "500", bcol = "white")
pngBorder(dir, border = "500", bcol = "white")

Arguments

dir

character string path name for main output directory

border

character string containing border width

bcol

character string containing border color

Value

returns path name of ofile

pngDims

Description

carefully compute the parameters for heatmap.2()

Usage

pngDims(
  mat,
  margins = c(50, 50),
  cex = 4,
  inchPerDendro = 0.25,
  inchPerChar = 0.05,
  verbose = 4
)
pngDims(
  mat,
  margins = c(50, 50),
  cex = 4,
  inchPerDendro = 0.25,
  inchPerChar = 0.05,
  verbose = 4
)

Arguments

mat

numerical matrix input for heatmap.2()

margins

param passed to heatmap.2()

cex

param passed to heatmap.2()

inchPerDendro

numerical value how many inches to allocate to dendrogram

inchPerChar

empirically determined value for character size, that results in square heatmap elements

verbose

integer param passed to vprint()

Details

the goal here is to compute the parameters that result in square, rather than rectangular, heatmap elements

Value

returns a list of parameter values to be used by heatmap.2()

Examples

m<-matrix(1:28,nrow=4,ncol=7)
pngDims(m)

m<-matrix(1:28,nrow=4,ncol=7)
pngDims(m)

pngDisplay3

Description

use magick package to display arrangement of aligned 3 pngs

Usage

pngDisplay3(HTGM2D.png, side.png, below.png, border = "500", bcol = "white")
pngDisplay3(HTGM2D.png, side.png, below.png, border = "500", bcol = "white")

Arguments

HTGM2D.png

character string path name for HTGM2D .png

side.png

character string path name for side .png

below.png

character string path name for below .png

border

character string border size like "500"

bcol

character string border color like "white"

Value

returns the path name of the output file .png

Examples


# takes too long to run in CRAN check
HTGM2D.png <- system.file("extdata/files", "HTGM2D.png", package = "HTGM4D")
side.png <- system.file("extdata/files", "side.png", package = "HTGM4D")
below.png <- system.file("extdata/files", "below.png", package = "HTGM4D")
png<-pngDisplay3(HTGM2D.png,side.png,below.png)


# takes too long to run in CRAN check
HTGM2D.png <- system.file("extdata/files", "HTGM2D.png", package = "HTGM4D")
side.png <- system.file("extdata/files", "side.png", package = "HTGM4D")
below.png <- system.file("extdata/files", "below.png", package = "HTGM4D")
png<-pngDisplay3(HTGM2D.png,side.png,below.png)

pngHeat

Description

generate .png heatmap using parameters carefully computed by pngDims()

Usage

pngHeat(
  filename,
  mat,
  labs = FALSE,
  Rowv = TRUE,
  Colv = TRUE,
  res = 300,
  border = FALSE,
  verbose = 4
)
pngHeat(
  filename,
  mat,
  labs = FALSE,
  Rowv = TRUE,
  Colv = TRUE,
  res = 300,
  border = FALSE,
  verbose = 4
)

Arguments

filename

character string path name for .png output file

mat

numerical matrix input for heatmap.2()

labs

Boolean if TRUE display row and col labels

Rowv

parameter for heatmap.2()

Colv

parameter for heatmap.2()

res

numeric screen resolution

border

Boolean if TRUE add red border to periphery of png

verbose

integer param passed to vprint()

Value

returns the path name for the output heatmap .png file

Examples


# takes too long to run in CRAN check
stamp<-gsub(":","_",format(Sys.time(), "%a_%b_%d_%Y_%X"))
dir<-sprintf("%s/%s/",tempdir(),stamp)
dir.create(dir)
print(c("dir: ",dir))
buildSubdirs(dir)

m<-matrix(1:28,nrow=4,ncol=7)
pngHeat(filename=sprintf("%s/%s/%s",dir,"standards","xpng.png"),mat=m)


# takes too long to run in CRAN check
stamp<-gsub(":","_",format(Sys.time(), "%a_%b_%d_%Y_%X"))
dir<-sprintf("%s/%s/",tempdir(),stamp)
dir.create(dir)
print(c("dir: ",dir))
buildSubdirs(dir)

m<-matrix(1:28,nrow=4,ncol=7)
pngHeat(filename=sprintf("%s/%s/%s",dir,"standards","xpng.png"),mat=m)

renderSVG

Description

cluster a GoMiner (but not HTGM2D) heatmap and save it as an SVG file

Usage

renderSVG(dir, heatmap, identifier, doRow = TRUE, verbose)
renderSVG(dir, heatmap, identifier, doRow = TRUE, verbose)

Arguments

dir

character string containing path name of output directory

heatmap

matrix to be clustered

identifier

character string "side" or "below"

doRow

Boolean if TRUE cluster row

verbose

input param for vprint()

Value

returns a list containing the SVG file and the SVG also has side effect of saving the svg file

Examples


# takes too long to run in CRAN check
stamp<-gsub(":","_",format(Sys.time(), "%a_%b_%d_%Y_%X"))
dir<-sprintf("%s/%s/",tempdir(),stamp)
dir.create(dir)
print(c("dir: ",dir))
buildSubdirs(dir)

m<-matrix(data=1:16,nrow=4,ncol=4)
rownames(m)<-c("a","b","c","d")
colnames(m)<-c("a","b","c","d")
svg<-renderSVG(sprintf("%s/%s/",dir,"standards"),m,"example",verbose=-1)


# takes too long to run in CRAN check
stamp<-gsub(":","_",format(Sys.time(), "%a_%b_%d_%Y_%X"))
dir<-sprintf("%s/%s/",tempdir(),stamp)
dir.create(dir)
print(c("dir: ",dir))
buildSubdirs(dir)

m<-matrix(data=1:16,nrow=4,ncol=4)
rownames(m)<-c("a","b","c","d")
colnames(m)<-c("a","b","c","d")
svg<-renderSVG(sprintf("%s/%s/",dir,"standards"),m,"example",verbose=-1)

setSVGtransparency

Description

modify svg code so that background opacity is set to 0

Usage

setSVGtransparency(svg)
setSVGtransparency(svg)

Arguments

svg

svg object

Details

this prevents the background of one svg from overlaying the content of a second svg in combine3SVG()

Value

returns modified version of svg object

Examples

svgt<-setSVGtransparency(x_svg1)

svgt<-setSVGtransparency(x_svg1)

whoRanMe

Description

wrapper for commandArgs()

Usage

whoRanMe()
whoRanMe()

Value

Returns a character string containing the identity of who ran the program in which this is called.

Examples

whoRanMe()

whoRanMe()

HTGM4D data set

Description

HTGM4D data set

Usage

data(x_jmat)
data(x_jmat)

HTGM4D data set

Description

HTGM4D data set

Usage

data(x_l)
data(x_l)

HTGM4D data set

Description

HTGM4D data set

Usage

data(x_lines)
data(x_lines)

HTGM4D data set

Description

HTGM4D data set

Usage

data(x_svg1)
data(x_svg1)

HTGM4D data set

Description

HTGM4D data set

Usage

data(x_svg2)
data(x_svg2)

HTGM4D data set

Description

HTGM4D data set

Usage

data(x_svg3)
data(x_svg3)

Package 'HTGM4D'

Help Index

buildSubdirs

Description

Usage

Arguments

Value

Examples

HTGM4D data set

Description

Usage

combine3SVG

Description

Usage

Arguments

Details

Value

Examples

editor

Description

Usage

Arguments

Value

Examples

fillLines

Description

Usage

Arguments

Value

Examples

findSVGtags

Description

Usage

Arguments

Value

Examples

GoMiner4

Description

Usage

Arguments

Details

Value

Examples

HTGM4D

Description

Usage

Arguments

Value

Examples

HTGM4Ddriver

Description

Usage

Arguments

Value

Examples

JaccardHeatMap4

Description

Usage

Arguments

Details

Value

Examples

mergeGoMinerHTGM2D

Description

Usage

Arguments

Value

parseSVGline

Description

Usage

Arguments

Value

Examples

pngBorder

Description

Usage

Arguments

Value

pngDims

Description