VennDetail - Comprehensive Visualization and Analysis of Multi-Set Intersections
A comprehensive package for visualizing multi-set intersections and extracting detailed subset information. VennDetail generates high-resolution visualizations including traditional Venn diagrams, Venn-pie plots, and UpSet-style plots. It provides functions to extract and combine subset details with user datasets in various formats. The package is particularly useful for bioinformatics applications but can be used for any multi-set analysis.
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datarepresentationgraphandnetworkvisualizationsoftwareextractvenndiagram
7.87 score 30 stars 110 scripts 494 downloadsmicrobial - Do 16s Data Analysis and Generate Figures
Provides functions to enhance the available statistical analysis procedures in R by providing simple functions to analysis and visualize the 16S rRNA data.Here we present a tutorial with minimum working examples to demonstrate usage and dependencies.
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softwaregraphandnetworkmicrobiomemicrobiome-analysis
5.75 score 16 stars 35 scripts 411 downloadso2plsda - Multiomics Data Integration
Provides functions to do 'O2PLS-DA' analysis for multiple omics data integration. The algorithm came from "O2-PLS, a two-block (X±Y) latent variable regression (LVR) method with an integral OSC filter" which published by Johan Trygg and Svante Wold at 2003 <doi:10.1002/cem.775>. 'O2PLS' is a bidirectional multivariate regression method that aims to separate the covariance between two data sets (it was recently extended to multiple data sets) (Löfstedt and Trygg, 2011 <doi:10.1002/cem.1388>; Löfstedt et al., 2012 <doi:10.1016/j.aca.2013.06.026>) from the systematic sources of variance being specific for each data set separately.
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integrationmulti-omicso2plsomicsplsdaopenblascppopenmp
4.98 score 9 stars 21 scripts 402 downloads
fctutils - Advanced Factor Manipulation Utilities
Provides a collection of utility functions for manipulating and analyzing factor vectors in R. It offers tools for filtering, splitting, combining, and reordering factor levels based on various criteria. The package is designed to simplify common tasks in categorical data analysis, making it easier to work with factors in a flexible and efficient manner.
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4.00 score 2 stars 6 scripts 276 downloads