software
PhyloNetworks
A Julia package for statistical inference, data manipulation and visualization of phylogenetic networks
To receive announcements about updates to PhyloNetworks, join the
PhyloNetworks google group
A Julia package for statistical inference, data manipulation and visualization of phylogenetic networks
To receive announcements about updates to PhyloNetworks, join the
PhyloNetworks google group
SNaQ
Maximum pseudolikelihood estimation of species network. The procedure involves a numerical optimization of branch lengths and inheritance probabilities and a heuristic search in the space of phylogenetic networks.
SNaQ is one function within the PhyloNetworks Julia package.
Maximum pseudolikelihood estimation of species network. The procedure involves a numerical optimization of branch lengths and inheritance probabilities and a heuristic search in the space of phylogenetic networks.
SNaQ is one function within the PhyloNetworks Julia package.
iBPP
Bayesian species delimitation integrating genes and traits data.
WI Fast Stats
Integrated web page with access to all available web apps for data visualization of WI Fast Plants
YouTube short tutorial
Integrated web page with access to all available web apps for data visualization of WI Fast Plants
YouTube short tutorial
CARlasso
An R package for fitting Conditional Auto-Regressive LASSO, a class of models that infers (sparse) Gaussian chain graph with predictor and response nodes as well as its extensions
Also please see the
documentations and tutorials.
An R package for fitting Conditional Auto-Regressive LASSO, a class of models that infers (sparse) Gaussian chain graph with predictor and response nodes as well as its extensions
Also please see the
documentations and tutorials.
Potato Dashboard
Proprietary data visualization and data analysis dashboard for the WI Seed Potato Cert program
GitHub repository
Proprietary data visualization and data analysis dashboard for the WI Seed Potato Cert program
GitHub repository
BayesianNetworkRegression.jl
A Julia package for fitting Bayesian Network Regression, a model for inferring the relationships between microbiome networks and a dependent variable of interest like biological phenotypes. Also please see the
documentation and tutorials.
A Julia package for fitting Bayesian Network Regression, a model for inferring the relationships between microbiome networks and a dependent variable of interest like biological phenotypes. Also please see the
documentation and tutorials.