Package: PAC 1.1.6

PAC: Partition-Assisted Clustering and Multiple Alignments of Networks

Implements partition-assisted clustering and multiple alignments of networks. It 1) utilizes partition-assisted clustering to find robust and accurate clusters and 2) discovers coherent relationships of clusters across multiple samples. It is particularly useful for analyzing single-cell data set. Please see Li et al. (2017) <doi:10.1371/journal.pcbi.1005875> for detail method description.

Authors:Ye Henry Li [aut, cre], Dangna Li [aut]

PAC_1.1.6.tar.gz
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PAC_1.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PAC/json (API)

# Install 'PAC' in R:

install.packages('PAC', repos = c('https://yhenryli.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

3.48 score 15 scripts 366 downloads 71 mentions 16 exports 33 dependencies

Last updated from:e96ecb7a0e. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	139
linux-devel-x86_64	OK	164
source / vignettes	OK	238
linux-release-arm64	OK	132
linux-release-x86_64	OK	145
macos-release-arm64	OK	206
macos-release-x86_64	OK	339
macos-oldrel-arm64	OK	197
macos-oldrel-x86_64	OK	352
windows-devel-arm64	OK	357
windows-devel-x86_64	OK	148
windows-release-arm64	OK	392
windows-release-x86_64	OK	115
windows-oldrel-x86_64	OK	102
wasm-release	OK	126

Exports:aggregateData annotateClades annotationMatrix_withSubpopProp BSPLeaveCenter constellationPlot fmeasure getExtraneousCladeSubpopulations getRepresentativeNetworks heatmapInput MAN MINetworkPlot_topEdges PAC refineSubpopulationLabels renamePrunedSubpopulations runElbowPointAnalysis samplePass

Dependencies:cli cpp11 dplyr farver generics ggplot2 ggrepel glue gtable igraph infotheo isoband labeling lattice lifecycle magrittr Matrix parmigene pillar pkgconfig R6 RColorBrewer Rcpp rlang Rtsne S7 scales tibble tidyselect utf8 vctrs viridisLite withr

Using the PAC package

Biology Example

Rendered fromintro.Rmdusingknitr::rmarkdown

Last update: 2020-03-20
Started: 2016-03-25

Help page	Topics
Aggregates results from the clustering and merging step.	aggregateData
Creates annotation matrix for the clades in aggregated format. The matrix contains average signals of each dimension for each clade in each sample	annotateClades
Adds subpopulation proportion for the annotation matrix for the clades	annotationMatrix_withSubpopProp
Finds N Leaf centers in the data	BSPLeaveCenter
Makes constellation plot, in which the centroids are clusters are embedded in the t-SNE 2D plane and the cross-sample relationships are plotted as lines connecting related sample clusters (clades).	constellationPlot
F-measure Calculation	fmeasure
Calculate the (global) average spread of subpopulations in clades with 2 subpopulations on the constellation plot.	getAverageSpreadOf2SubpopClades
Calculates subpopulations in clades (with two or more subpopulations) that are too far away from other subpopulations (within the same clade) on the constellation plot; these far away subpopulations should be pruned away from the original clades.	getExtraneousCladeSubpopulations
Representative Networks	getRepresentativeNetworks
Creates the matrix that can be easily plotted with a heatmap function available in an R package	heatmapInput
Calculates the Jaccard similarity matrix.	JaccardSM
Creates network alignments using network constructed from subpopulations after PAC	MAN
Mutual information network connection matrix generation (mrnet algorithm) using the parmigene package. Mutual information calculated with infotheo package.	MINetwork_matrix_topEdges
Outputs the vectorized summary of a network based on the number of edges connected to a node	MINetwork_simplified_topEdges
Plots mutual information network (mrnet algorithm) connection using the parmigene package. Mutual information calculated with infotheo package.	MINetworkPlot_topEdges
Wrapper to output the mutual information networks for subpopulations with size larger than a desired threshold.	outputNetworks_topEdges_matrix
Outputs the representative/clade networks (plots and summary vectors) for subpopulations with size larger than a desired threshold. Saves the networks and the data matrices without the smaller subpopulations.	outputRepresentativeNetworks_topEdges
Partition Assisted Clustering PAC 1) utilizes dsp or bsp-ll to recursively partition the data space and 2) applies a short round of kmeans style postprocessing to efficiently output clustered labels of data points.	PAC
Calculates the within cluster spread	recordWithinClusterSpread
Refines the subpopulation labels from PAC using network alignment and small subpopulation information. Outputs a new set of files containing the representative labels.	refineSubpopulationLabels
Prune away specified subpopulations in clades that are far away.	renamePrunedSubpopulations
Runs elbow point analysis to find the practical optimal number of clades to output. Outputs the average within sample cluster spread for all samples and the elbow point analysis plot with loess line fitted through the results.	runElbowPointAnalysis
Run PAC for Specified Samples	samplePass

Package: PAC 1.1.6

PAC: Partition-Assisted Clustering and Multiple Alignments of Networks

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Usage by other packages (reverse dependencies)