Description of the Software. Subject to the terms and conditions of this XXXX, you can download, or attempt to download, the Software on your PC; provided, however, that the Software will only function properly where your PC utilizes a Microsoft Windows operating system. If you experience any problems installing and/or uninstalling the Software, please contact us via e-mail at: xxxxxxx@xxxxxxxxxxx.xxx.xx.
Description of the Software. The "PUBLISHER" has designed and developed 13CFLUX2 which consists of a set of applications for performing 13C‐based Metabolic Flux Analysis (13C‐MFA), i.e. the simulation‐based estimation of in‐ vivo metabolic reaction rates. In particular, the implemented type of 13C‐MFA relies on 13C labeling measurement data obtained from an organism which is kept under metabolic and isotopic stationary conditions. The 13C labeling measurement data are usually (but not necessarily) generated using mass spectrometry (MS) or nuclear magnetic resonance (NMR) measurement devices. The estimation of in‐vivo reaction rates for very large metabolic networks, the evaluation of a series of high throughput experiments, as well as the evaluation of nonlinear statistics and experimental design involves a high computational effort. By implementing newly developed simulation algorithms, which are highly tuned for the underlying mathematical problems, using 13CFLUX2 allows to perform 13C‐MFA studies on a common desktop computer. Network models and measurements are authored in the FluxML document format. Unique characteristics of the 13CFLUX2 software suite are: • significantly improved performance and higher numerical accuracy compared to the predecessor version 13CFLUX and other available software packages for 13C‐MFA; • professional input and output via XML‐based file formats and HDF5 (hierarchical data format, version 5); • a comprehensive error handling including comprehensible error messages; • statistical analysis of the obtained reaction rate distribution and tools for performing optimal experimental design; • support for multi‐core CPUs and computer clusters. The following license terms apply to the software's executable files as well as to the included manuals and data files (in this agreement referred to as the "SOFTWARE"). Likewise, these terms apply to any 13CFLUX2 software update provided by Forschungszentrum Jülich GmbH, unless separate license terms accompany those items. If so, those license terms apply. BY INSTALLING AND/ OR USING THE SOFTWARE, YOU ACCEPT THE TERMS OF THIS LICENSE AGREEMENT. IF YOU DO NOT ACCEPT IT, DO NOT INSTALL AND USE THE SOFTWARE. IF YOU COMPLY WITH THESE LICENSE TERMS, YOU HAVE THE RIGHTS AS SPECIFIED BELOW.
Description of the Software. Win!Factor will be used to collect, store, retrieve and manage information regarding the clients of Customer. All references in this Agreement to the "Software" means Win!Factor , as modified for Customer. It does not include any other software (such as Microsoft Word) or any other operating systems.
Description of the Software. The detection of cis-regulatory modules (CRMs) that mediate transcriptional responses in eukaryotes remains a key challenge in the postgenomic era. A CRM is characterized by a set of co-occurring transcription factor binding sites (TFBS). In silico methods have been developed to search for CRMs by determining the combination of TFBS that are statistically overrepresented in a certain geneset. Most of these methods solve this combinatorial problem by relying on computational intensive optimization methods. As a result their usage is limited to finding CRMs in small datasets (containing a few genes only) and using binding sites for a restricted number of transcription factors (TFs) out of which the optimal module will be selected. ModuleDigger is a tool based on an itemset mining based strategy for computationally detecting cis-regulatory modules (CRMs) in a set of genes. ModuleDigger can handle larger dataset as well as considering a genome-wide view which means it is considered specific for the whole cluster of input genes if the CRM is statistically more overrepresented in this cluster of genes than in the remainder of the genome. By exploiting the computational efficiency of an itemset mining approach and combining it with a well-designed statistical scoring scheme, we were able to prioritize the biologically valid CRMs in a large set of coregulated genes using binding sites for a large number of potential TFs as input.
Description of the Software. The Software may include, without limitation,: (a) "Server Software" that provides document management services to other programs; (b) "Client Software" that allows a computer or workstation to access or utilize the services functionality provided by the Server Software; (c) "Stand-alone Software" that operates on a single computer; (d) "Demonstration Software" that is provided only for demonstration, testing and feedback purposes; (e) "Distributed Computing Cluster Software" that allows distribution of processing work for certain Laserfiche application tasks onto other machines; and/or (f) "Plug-in Software Modules" that can be added to the previously mentioned types of software. Specific additional terms that accompany a software development kit or Laserfiche software designated for "application service provider" purposes will also apply to Licensee.
Description of the Software. The MultiBlock Component Analysis (MBCA) software allows to fit a set of component models to multivariate multiblock data (e.g., observations from a set of variables for subjects that are embedded in groups). Given such multivariate multiblock data, the MBCA program performs separate principal component analyses on all data blocks, simultaneous component analyses and/or clusterwise component analyses with increasing complexities (i.e., number of components and, in the latter case, number of clusters) by means of a multi-start alternating least squares algorithm. Missing data are imputed through weighted least squares fitting. In order to help the user in determining the number of components and/or clusters that are present in the data, the results of a model selection procedure are displayed in the output files of the MBCA program. The MBCA program is available in MATLAB and as a standalone (".exe") application. More information about how to handle the MBCA software can be found in De Roover, Ceulemans & Xxxxxxxxx (2011).
Description of the Software. The software provides a graphical user interface for visualizing single-channel LFP signals, their time-frequency characteristics; and detect epileptic seizures in zebrafish larvae.
Description of the Software. The LMPCA software program is a MATLAB graphical user interface for fitting the linked- mode PARAFAC-PCA model (Wilderjans et al., 2009) to a coupled data set consisting of a real-valued three-way data array and a real-valued two-way data matrix that have one mode in common. Given such a coupled data set, the LMPCA software program estimates a user- specified range of linked-mode PARAFAC-PCA solutions with increasing complexities (i.e., number of components) by making use of a multistart alternating least squares algorithm. In order to help the user in determining the number of components that are present in the data, a scree plot and fit information for all complexities considered, are displayed in the output files that are created by the LMPCA program. For more information about how to handle the LMPCA software program, see Wilderjans, Ceulemans, Kiers, & Xxxxx (2009).
Description of the Software. The nonnegative real-valued model of hierarchical classes (NNRV-HICLAS) software allows to fit nonnegative real-valued hierarchical classes models to two-way two-mode data (e.g., a rectangular objects by attributes data matrix). Given such data, the NNRV-HICLAS program performs nonnegative real-valued hierarchical classes analyses of a prespecified complexity (i.e., number of object and attribute clusters) by means of a multi-start two-stage algorithm combining a simulated annealing and an alternating local descent stage. The NNRV-HICLAS program is available in MATLAB.
Description of the Software. The GAME is proprietary software that is owned and developed exclusively by SAAV Games. The maximum number of tokens implemented in the software is 1,000,000,000. The software does not permit change to the number of implemented tokens after the smart contract is deployed on the Network.
