Statistical Modeling, Machine Learning, Mathematical
A selected list of software licensed and in use at the Translational Informatics Division. Please feel free to contact us for further information.
GnuPlot
Data and function plotting environment, multi-platform
MathWorks MATLAB
Matrix laboratory and visualization environment
NumPy, SciPy, Matplotlib and Scikit
These are Python packages and community projects offering a wide range of mathematical, statistical, plotting, and machine learning methods.
R
Language and environment for statistical computing and graphics. A diverse range of packages are available from CRAN. A selected few of those used at UNM TiD:
- ROCR: Receiver-Operator Characteristic curves
- drc: dose-response curve generation and analysis
- tm: text mining
- topicmodels: text analytics including Latent Dirichlet Allocation
- RWeka: machine learning
- randomforest: machine learning
- e1071: naive Bayesian, support vector machine
- rcdk: cheminformatics
- igraph: graph analysis
- affy: Affymetrix gene expression analysis
SAS
Statistical analysis system
WEKA
Machine learning algorithms and environment for data mining tasks