Search Results for "fisch-script-engine-roblox"

gVirtualXRay is a C++ library to simulate X-ray imaging. It is based on the Beer-Lambert law to compute the absorption of light (i.e. photons) by 3D objects (here polygon meshes). It is implemented on the graphics processing unit (GPU) using the OpenGL Shading Language (GLSL). SimpleGVXR is a smaller library build on the top of gVirtualXRay. It provides wrappers to Python, R, Ruby, Tcl, C#, Java, and GNU Octave.

The simple program is a Witleaf handheld pulse oxymeter BIN file format data decoder. It reads BIN-files produced by popular professional pulse oxymeters manufactured by Shenzhen Witleaf Medical Electronics Co., Ltd. (like the WIT-S300 shown in the photo on the project icon) and produces a CSV-formatted output with the extracted data to stdout (gets printed to the console if not directed otherwise). More info on https://github.com/mrKirushko/OxyWitleaf2CSV .

...rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP full text search engine (http://cwb.sourceforge.net) and a range of statistical functions (factorial analysis, classification, cooccurrency analysis, etc.) based on R packages (http://www.r-project.org). Read the scientific background at the Textométrie project web site http://textometrie.ens-lyon.fr/?lang=en. Read a full description at the TEI Tools wiki http://wiki.tei-c.org/index.php/TXM.

...For theoretical background please refer to 'MANTIS: an R package that simulates multilocus models of pathogen evolution' (https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0598-9 OPEN ACCESS) At the moment, MANTIS is not available on CRAN. To build a source package of MANTIS, use the script buildPackage.R To install MANTIS use 'install.packages(file.tar.gz,type="src",repo=NULL)' To test use test_V3.3_code.R Contact the main author of the publication above for further details. Have fun!

The NOFI ranking algorithm has been developed to assign low priority to fragment ions affected by interference. The implementation is an R script that can be customized. A future version will contain a modular version. The outline is as follows: 1) The input contains the list of SWATH fragment ion XICs from the identified and quantified peptides by software tools such as Skyline and OpenSWATH. 2) The first step in NOFI is the computation of the 4 attributes (RTd, FWHMd, IRd and IRrep) used to represent each fragment ion as a vector. 3) Multivariate outlier detection techniques are used to rank all the fragment ions from each peptide. 4) Several figures are generated (a pdf file) to visualize the effect of the Top-N fragment ions over different indicators. 5) The user can choose the number of top fragment ions per peptide, thereby utilizing the optimal subset of high priority Top-N NOFIs for quantification while excluding the impaired fragment ions.

...You are also able to perform more complex computing being provided R console waiting for your orders.GUI and R console are connected and you can change the probability parameters in the graphical interface and then use them in your script. Moreover, when you change appropriate variables writing an R function, you can see the GUI synchronizing with it. To use the application you should be able to run Java and have basic R environment installed. You can download it here: http://www.r-project.org/index.html JRdistribution uses RCaller library which is available here: https://code.google.com/p/rcaller/

RIPE (Regulatory network Inference from joint Perturbation and Expression data) is a novel three-step method that integrates both perturbation data and steady state gene expression data in order to estimate a regulatory network. The ripe package is written in R, with additional functionality provided by a MATLAB executable file. The executable file uses a runtime engine called the MATLAB Compiler Runtime (MCR). The executable for different architectures is distributed on this site together with the R package itself.

RMol is an R script with a collection of functions to link information of SD/Molfile structure databases with powerful graph analysis packages in R.

Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.

An R script written by Martin Turjak, implementing a newly developed method for evaluating synapomorphy on phylogenetic trees. For details see: http://sourceforge.net/p/synapomorphy

QiSampler is an R script used as a command-line bioinformatics tool that evaluates the prioritization done by scoring schemes and experimental parameters of high throughput biological datasets.

An Optical Character Recognition application for high quality printed text, geared towards (but not restricted to) the Bengali script.

Built with R, this code allows the user to simulate the game of basketball. While the main focus is on simulating the NBA, the code provides a framework for simulating other leagues by modifying the default set of rules.

Shell script for spinal cord diffusion tensor imaging (DTI) preprocessing and outlier rejection.