An L1-norm minimization benchmark package, which contains implementations of several popular L1-norm minimization algorithms in MATLAB, can be downloaded here.
Our toolbox currently contains implementations of robust methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), principal component regression (RPCR), partial least squares (RSIMPLS) and classification (RDA).
It contains implementations of testing routines, data storage and a UI, and thus is designed for stand-alone deployment.
Modal is also a new open source (GPL), cross-platform library for musical onset detection written in C++ and Python, and contains implementations of all of the ODFs discussed in this article in both programming languages.
The TIGER package contains implementations of three of these methods.
The second group contains implementations of Kardaun and Kardaun [ 7], and Moses et al [ 8].
The kernel contains implementations of algorithms, methodological procedures, and fundamental objects, such as networks, chemical reactions, mathematical expressions, matrices, convex polytopes, hyperplanes, linear program solvers, etc.
We have developed an R package called DiseaseCellTypes that contains implementations of the gene set compactness (GSC) and gene set overexpression (GSO) methods and the method used to create the cell-type-specific interactomes.
The package contains implementations of two methods for calculating thresholds to separate reads into those that are the result from self-ligations versus those that arise from inter-ligations.
