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
cpp
10.13 score 58 stars 44 dependents 6.4k scripts 27k downloadsflashClust - Implementation of Fast Hierarchical Clustering
A fast implementation of hierarchical clustering that incorporates original code from Fionn Murtagh.
Last updated
8.11 score 130 dependents 558 scripts 59k downloadsdynamicTreeCut - Methods for Detection of Clusters in Hierarchical Clustering Dendrograms
Contains methods for detection of clusters in hierarchical clustering dendrograms.
Last updated
8.03 score 4 stars 69 dependents 651 scripts 20k downloadsrandomGLM - 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
1.58 score 1 stars 38 scripts 288 downloadsmoduleColor - Basic Module Functions
Methods for color labeling, calculation of eigengenes, merging of closely related modules.
Last updated
1.38 score 24 scripts 501 downloadsPropClust - 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
fortranglibc
1.00 score 2 scripts 245 downloads