FSelector is a Ruby gem that aims to integrate various feature selection algorithms and related functions into one single package. Welcome to contact me (need47@gmail.com) if you'd like to contribute your own algorithms or report a bug. FSelector allows user to perform feature selection by using either a single algorithm or an ensemble of multiple algorithms, and other common tasks including normalization and discretization on continuous data, as well as replace missing feature values with certain criterion. FSelector acts on a full-feature data set in either CSV, LibSVM or WEKA file format and outputs a reduced data set with only selected subset of features, which can later be used as the input for various machine learning softwares such as LibSVM and WEKA. FSelector, as a collection of filter methods, does not implement any classifier like support vector machines or random forest.

Identify causative mutations in a model genome from NGS reads using the NGM method.

Identify causative mutations in a model genome from NGS reads using the NGM method.

Allow to test, publish and manipulate camflow log files.

Clean messy R code.

Robert Feldt's Common Ruby Code lib

Implements supervised Bayesian structure learning, as well as extra tools to help train a Bayesian net using ActiveRecord data

harlequin is a Ruby wrapper for linear and quadratic discriminant analysis in R for statistical classification. Also allows means testing to determine significance of discriminant variables.

Ruby wrapper for the OpenTox REST API (http://www.opentox.org)

Ruby advanced statistical library based on RinRuby

A Ruby 2.0 API for interacting with command line tools involving RNA molecules through a standard interface.

Vose: Sample random values from a discrete probability distribution.

A comprehensive wrapper w(RNA)pper for various RNA CLI programs.