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mldr:Exploratory Data Analysis and Manipulation of Multi-Label Data Sets
Exploratory data analysis and manipulation functions for multi- label data sets along with an interactive Shiny application to ease their use.
Maintained by David Charte. Last updated 5 years ago.
23 stars 7.06 score 168 scripts 2 dependentsbioc
EGAD:Extending guilt by association by degree
The package implements a series of highly efficient tools to calculate functional properties of networks based on guilt by association methods.
Maintained by Sara Ballouz. Last updated 5 months ago.
softwarefunctionalgenomicssystemsbiologygenepredictionfunctionalpredictionnetworkenrichmentgraphandnetworknetwork
4.92 score 83 scriptsyhenryli
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.
Maintained by Ye Henry Li. Last updated 4 years ago.
3.30 score 7 scripts