Search Results for "sensitivity"
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Showing 27 open source projects for "sensitivity"
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DWSIM - Open Source Process Simulator
Simulate chemical processes using advanced thermodynamic models
DWSIM is an open source, CAPE-OPEN compliant chemical process simulator for Windows, Linux and macOS systems. Written in VB.NET and C#, DWSIM features a comprehensive set of unit operations, advanced thermodynamic models, support for reacting systems, petroleum characterization tools and a fully-featured graphical interface. DWSIM Pro is a commercial sibling of DWSIM built on top of open-source software. It offers extended features, comes with private support, and is accessible in the... -
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DAE Tools Project
Object-oriented equation-based modelling and optimisation software
...It is not a modelling language nor a collection of numerical libraries but rather a higher level structure – an architectural design of interdependent software components providing an API for: - Model development/specification - Activities on developed models, such as simulation, optimisation, sensitivity analysis and parameter estimation - Processing of the results, such as plotting and exporting to various file formats - Report generation - Code generation, co-simulation and model exchange The following class of problems can be solved by DAE Tools: - Initial value problems of implicit form - Index-1 DAE systems - With lumped or distributed parameters - Steady-state or dynamic - Continuous with some elements of event-driven systems -
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Scalar-Defense-System
Scalar Defense using Photon Dark Photon FDM Waves
Scalar Defense leverages wave-like properties of Fuzzy Dark Matter to detect, track & deflect asteroids. Manipulating scalar fields (ϕ) & their interference patterns, system creates controlled gravitational potentials can alter asteroid trajectories. Foundation is the two-field FDM model, allows tuning density fringes via mass & velocity parameters -
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Parallel and Distributed Process System
OmniSim simulates parallel and distributed processing systems
Parallel and Distributed Process OmniSim Computational Neuroscience: Large-scale neural population dynamics, brain-inspired computing architectures, and neuro-symbolic AI systems 🧬 Scientific Overview PDP-OmniSim is an advanced computational framework for simulating parallel and distributed processing systems, with cutting-edge applications in computational neuroscience, distributed computing, and complex systems modeling. The framework provides researchers with robust tools for... -
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SimThyr
A simulation program for thyroid homeostasis.
SimThyr is a continuous simulation program for the human pituitary-thyroid feedback control system. Applications of this program cover research, including development of hypotheses, and education of students in biology and medicine, nurses and patients. -
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StochSD
CSS package for contin., discrete and combined modelling & simulation
...In particular, StochSD includes features for stochastic modelling and post analysis of multiple simulations followed by presentation of the results in statistical form. Tools for Sensitivity Analysis, Optimization and Statistical Analysis are parts of StochSD. -
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MAGeCK
Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout
Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) is a computational tool to identify important genes from the recent genome-scale CRISPR-Cas9 knockout screens technology. For instructions and documentations, please refer to the wiki page. MAGeCK is developed by Wei Li and Han Xu from Dr. Xiaole Shirley Liu's lab at Dana-Farber Cancer Institute/Harvard School of Public Health, and is maintained by Wei Li lab at Children's National Medical Center. We thank the support... -
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Allelome.PRO
A pipeline to define allele-specific genomic features
...Allelome.PRO offers increased sensitivity to analyse lowly expressed transcripts, together with a robust false discovery rate empirically calculated from variation in the sequencing data. -
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lpsolve
Mixed Integer Linear Programming (MILP) solver.
Mixed Integer Linear Programming (MILP) solver lp_solve solves pure linear, (mixed) integer/binary, semi-cont and special ordered sets (SOS) models.lp_solve is written in ANSI C and can be compiled on many different platforms like Linux and WINDOWS This project is moved to github: https://lp-solve.github.io/ -
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Sensitizer
A toolset to automate STOP analysis with Zemax OpticStudio
SENSITIZER is an ESO software toolset written in Matlab and Mathematica aiming at automating some Structural/Thermal/Optical Performance (STOP) sensitivity analyses with Zemax OpticStudio (ZOS). The core code of SENSITIZER runs in MATLAB and drives ZOS in the background through the ZOS-API interface, based on .NET. The output is saved in the MATLAB file format and can be post-processed using MATLAB and/or Mathematica routines. The optical system to analyze is defined in a normal Zemax lens file. ... -
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ATLAS_mPBPK
Modeling and Simulation of mPBPK models
ATLAS mPBPK is a MATLAb-based tool for modeling and Simulation of minimal Physiology Based Pharmacokinetic (mPBPK) models of small and large molecules. The tool enables the users to perform: i) PK data visualization, ii) simulation, iii) parameter optimization, and iv) local sensitivity analysis (SA) of mPBPK models in a simple and efficient manner. -
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RxCalc
RxCalc is a calculator for the analysis of multi-stage receiver.
RxCalc is a calculator for the analysis of multi-stage receiver. The software can calculate cascaded and system parameters: gain, noise, sensitivity, input and output P1dB and IP3, noise floor, spur-free dynamic range, MDS, SNR, and others. Sources code: https://github.com/arhiv6/rxcalc Binary package: http://sourceforge.net/projects/rxcalc/ -
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PyMathProg
An easy and flexible mathematical programming environment for Python.
PyMathProg is a Python reincarnation of AMPL and GNU MathProg modeling language, implemented in pure Python, connecting to GLPK via swiglpk. Create, optimize, report, change and re-optimize your model with Python, easily integrate database, plotting, etc. -
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BisSNP
Bisulfite-seq/NOMe-seq SNPs & cytosine methylation caller
...It uses bayesian inference with either manually specified or automatically estimated methylation probabilities of different cytosine context(not only CpG, CHH, CHG in Bisulfite-seq, but also GCH et.al. in other bisulfite treated sequencing) to determine genotypes and methylation levels simultaneously. It works for both of single-end and paired-end reads.Specificity and sensitivity has been validate by Illumina IM SNP array. In default threshold 30X data (Phred scale score > 20), it could detect 92.21% heterozygous SNPs with 0.14% false positive rate Cytosine calling is not only based on reference context, so it could detect non-reference cytosine context. Google group for help: http://goo.gl/zL7Nj -
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INTEGRATE: Calling gene fusions with exact fusion junctions and genomic breakpoints by combining RNA-Seq and WGS data. To download source code, reference manual and test case, please go to 'Files'. Also refer to 'Wiki' for details.
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MUMAL2
Multivariate analysis of MS/MS data using ML techniques
Program described in the paper: MUMAL2: Improving sensitivity in shotgun proteomics using cost sensitive artificial neural networks and a threshold selector algorithm, 2016. By Fabio R. Cerqueira; Adilson M. Ricardo; Alcione P. Oliveira; Armin Graber; Christian Baumgartner. -
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ChelomEx
Isotope assisted discovery of metal chelating agents from LC-MS data
ChelomEx identifies chromatographic features of metal complexes and associated free ligands or other related adducts in high-resolution LC-MS data. A built-in graphical user interface and compound library aid in the efficient evaluation of the results. If you use ChelomEx for your research, please cite our Analytical Chemistry paper that describes the software (http://dx.doi.org/10.1021/ac503000e). To comment, send bug reports or suggestions for additional features to be implemented... -
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olego
OLego – short or long RNA-seq read mapping to discover exon junction
OLego is a program specifically designed for de novo spliced mapping of mRNA-seq reads. OLego adopts a seeding and extension scheme, and does not rely on a separate external mapper. It achieves high sensitivity of junction detection by using very small seeds (12-14 nt), efficiently mapped using Burrows-Wheeler transform (BWT) and FM-index. This also makes it particularly sensitive for discovering small exons. It is implemented in C++ with full support of multiple threading, to allow fast processing of large-scale data. -
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GESPA
Accurately predicts disease association of single nucleotide mutations
GESPA (GEnomic Single nucleotide Polymorphism Analyzer) is a bioinformatics tool for classifying Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs). GESPA predicts if a nsSNP is pathogenic using reports from literature and various algorithms to assess conservation in orthologous and paralogous protein alignments. Using reports from literature, GESPA is also able to predict the phenotype of a nsSNP with high accuracy. The software can be used clinically to determine if observed nsSNPs are... -
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TIDES
Taylor series Integrator for Differential Equations
...TIDES tutorial: Integrating ODEs by using the Taylor Series Method., Monografías de la Academia de Ciencias de la Universidad de Zaragoza. 36, pp. 1-116. * R. Barrio, 2005. Performance of the Taylor series method for ODEs/DAEs, Appl. Math. Comput. 163 (2), pp. 525--545 * R. Barrio, 2006. Sensitivity analysis of ODE's/DAE's using the Taylor series method, SIAM J. on Scientific Computing 27 (6), pp. 1929--1947 -
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FineSplice
Enhanced splice junction detection and estimation from RNA-Seq data
FineSplice is a Python wrapper to TopHat2 geared towards a reliable identification of expressed exon junctions from RNA-Seq data, at enhanced detection precision with small loss in sensitivity. Following alignment with TopHat2 using known transcript annotations, FineSplice takes as input the resulting BAM file and outputs a confident set of expressed splice junctions with the corresponding read counts. Potential false positives arising from spurious alignments are filtered out via a semi-supervised anomaly detection strategy based on logistic regression. ... -
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Sphinx SD Tools
Common accessible environment for system dynamics simulation.
The Sphinx project is dedicated to create common accessible environment for system dynamics simulation. This software is developed on Java 6 platform and use Java Swing GUI. -
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SPSens
Stochastic parameter sensitivity analysis for chemical networks
SPSens is a complete software package written in C that estimates parameter sensitivities for stochastic models of chemical and biochemical reaction networks using Monte Carlo (MC) stochastic simulations. It is possible to estimate sensitivities with respect to system parameters using the following algorithms: finite difference methods (crude monte carlo, common reaction path, coupled finite differences); likelihood ratio methods; and regularized pathwise derivatives. Additionally the... -
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Software to solve Linear Programming problems applying the Revised Simplex Algorithm (2-Phase Method) and performing a Sensitivity Analysis too.
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