WGCNA: Weighted Correlation Network Analysis

Canonical link: https://rscholar.com/pkg/WGCNA

Peter Langfelder • Steve Horvath with contributions by Chaochao Cai • Jun Dong • Jeremy Miller • Lin Song • Andy Yip, • Bin Zhang • View description and downloads View dependencies GitHub project

2010 Published

1.73 Version

0 Citations

7 Authors

Referenced by ⇅	Year
DCD: Differential Community Detection in Paired Biological Networks (Version 0.1.0)	2017
molnet: Predicting Differential Drug Response using Multi-Omics Networks (Version 0.1.0)	2021
ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific Cells (Version 1.0.22)	2019
BioM2: Biologically Explainable Machine Learning Framework (Version 1.1.0)	2023
DDPNA: Disease-Drived Differential Proteins Co-Expression Network Analysis (Version 0.3.3)	2019
DiPALM: Differential Pattern Analysis via Linear Modeling (Version 1.2)	2020
DrDimont: Drug Response Prediction from Differential Multi-Omics Networks (Version 0.1.4)	2022
FREEtree: Tree Method for High Dimensional Longitudinal Data (Version 0.1.0)	2020
MRPC: PC Algorithm with the Principle of Mendelian Randomization (Version 3.1.0)	2018
Patterns: Deciphering Biological Networks with Patterned Heterogeneous Measurements (Version 1.5)	2019
TRexSelector: T-Rex Selector: High-Dimensional Variable Selection & FDR Control (Version 1.0.0)	2022
dendextend: Extending 'dendrogram' Functionality in R (Version 1.19.0)	2014
eclust: Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data (Version 0.1.0)	2017
fuzzyforest: Fuzzy Forests (Version 1.0.8)	2016
maGUI: A Graphical User Interface for Microarray Data Analysis and Annotation (Version 4.0)	2015
scITD: Single-Cell Interpretable Tensor Decomposition (Version 1.0.4)	2021
scpoisson: Single Cell Poisson Probability Paradigm (Version 0.0.1)	2022

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.