Search Results for "expert system source code"

This application allow user to predict dissolution profile of solid dispersion systems based on algorithms like symbolic regression, deep neural networks, random forests or generalized boosted models. Those techniques can be combined to create expert system. Application was created as a part of project K/DSC/004290 subsidy for young researchers from Polish Ministry of Higher Education.

Ours organization website GCModeller.org is coming online soon! Shoal Shell is the sub project for the "genome-in-code"(http://code.google.com/p/genome-in-code/) virtual cell modelling project of the bacteria Xcc 8004. Shoal Shell aim at provide the modelling tool and the debugging tool for the GCModeller virtual cell modelling, And from the extendible library package, shoal shell can manage to accomplish the entire modelling job for any other bacteria species. Shoal Shell Project...

In metabolomics the goal is to identify and measure the concentrations of different metabolites (small molecules) in a cell or a biological system. The metabolites form an important layer in the complex metabolic network, and the interactions between different metabolites are often of interest. It is crucial to perform proper normalization of metabolomics data and here we share the code for a normalization approach based on a mixed model, with simultaneous estimation of a correlation...

...It integrates post-processing tool of protein identification and advanced statistical algorithms to process the MS/MS signals generated from the peptides labeled by isobaric tags for quantification. IQuant can run from a graphical user interface (GUI) as well as a command-line interface and work with both Windows and Linux system. This website contains the IQuant software, an example data labeled by iTRAQ-8plex for testing and a user's manual. If you have any question about IQuant, please contact me: wenbo@genomics.cn. The source code of IQuant can be found here "https://sourceforge.net/p/iquant/code/".

ElicitN uses R and a tcltk gui interface for eliciting a number from an appropriate expert. The code has been modified from it's original version designed specifically for eliciting the number of species on coral reefs from expert taxonomists. For more information please refer to: http://dx.doi.org/10.1016/j.envsoft.2011.11.011 Please also refer to GitHub for a even simpler more recently maintained version of the project: https://github.com/beckyfisher/ElicitN