WGCNA - Weighted Correlation Network Analysis

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.

Last updated 5 months ago

cpp

9.53 score 51 stars 33 dependents 5.3k scripts 13k downloads

flashClust - Implementation of optimal hierarchical clustering

Fast implementation of hierarchical clustering

Last updated 12 years ago

fortran

7.86 score 114 dependents 514 scripts 41k downloads

dynamicTreeCut - Methods for Detection of Clusters in Hierarchical Clustering Dendrograms

Contains methods for detection of clusters in hierarchical clustering dendrograms.

Last updated 9 years ago

7.52 score 4 stars 60 dependents 488 scripts 9.5k downloads

randomGLM - Random General Linear Model Prediction

A bagging predictor based on generalized linear models (GLMs) is implemented. The method is published in Song, Langfelder and Horvath (2013) <doi:10.1186/1471-2105-14-5>.

Last updated 3 years ago

1.46 score 1 stars 29 scripts 239 downloads

moduleColor - Basic Module Functions

Methods for color labeling, calculation of eigengenes, merging of closely related modules.

Last updated 3 years ago

1.28 score 19 scripts 514 downloads

PropClust - Propensity Clustering and Decomposition

Implementation of propensity clustering and decomposition as described in Ranola et al. (2013) <doi:10.1186/1752-0509-7-21>. Propensity decomposition can be viewed on the one hand as a generalization of the eigenvector-based approximation of correlation networks, and on the other hand as a generalization of random multigraph models and conformity-based decompositions.

Last updated 1 years ago

fortran

1.00 score 2 scripts 198 downloads