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.


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.


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


Statistical analysis system


Machine learning algorithms and environment for data mining tasks