Search Results for "package"

This is a R packages designed for complex disease when large scale expression data is available

The Universal Java Matrix Package (UJMP) is an open source Java library which provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra such as matrix multiplication or matrix inverse. Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too.

PROPER is a package for visual evaluation of ranking classifiers for biological big data mining studies in the mathematical language MATLAB. It is an efficient tool for optimization and comparison of the state-of-the-art ranking classifiers by generating over 20 different high quality two- and three-dimensional performance curves.

Case-based regression learner for big data. The package contains source and binary files for running BEAR's method. BEAR utilizes EAR4 and locality sensitive hashing in its implementation.

PROPER is a package for visual evaluation of ranking classifiers for biological big data mining studies in the mathematical language MATLAB. It is an efficient tool for optimization and comparison of the state-of-the-art ranking classifiers by generating over 20 different high quality two- and three-dimensional performance curves.

The rocsy package is designed to accurately and efficiently compute all marine carbonate system variables from dissolved inorganic carbon (DIC), total alkalinity (Alk), temperature, and salinity as well as phosphate and silica concentrations. The pH scale and thermodynamic equilibrium constants used in rocsy are those recommended by Best-Practices Guide (Dickson et al., 2007).

The mrocs software is designed to accurately and efficiently compute all marine carbonate system variables from dissolved inorganic carbon (DIC), total alkalinity (Alk), temperature, and salinity as well as phosphate and silica concentrations. By default, the thermodynamic equilibrium constants used in mrocs are those recommended by Best-Practices Guide (Dickson et al., 2007). The mrocs package also includes options to use more recent formulations for K1 and K2 from Millero (2010) and for total boron from Lee et al. (2010). The mrocs package is designed for users with some programming experience, either in Fortran or python. Others would will prefer the facility of packages such as the Excel version of CO2sys. Because mrocs is computationally much faster, it is suited for big data and ocean models. ...