Search Results for "sensitivity"

...Symbolic ReactionSystems can be used to generate ModelingToolkit-based models, allowing the easy simulation and parameter estimation of mass action ODE models, Chemical Langevin SDE models, stochastic chemical kinetics jump process models, and more. Generated models can be used with solvers throughout the broader SciML ecosystem, including higher-level SciML packages (e.g. for sensitivity analysis, parameter estimation, machine learning applications, etc).

ThinkValue helps you analyze US stocks with clear DCF valuation models and SEC-sourced financial data. Build single or multi-stage valuations, run reverse DCFs, and test scenarios with sensitivity analysis. Use structured SEC financials via a free API, generate automated spreadsheets, and access research and KPIs on the web platform. Start free with no login or upgrade for versioned API access and integration support.

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.

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/

...MACExo has the following four steps: 1) sequencing data normalization and bias correction; 2) signal consolidation and noise reduction; 3) single nucleotide resolution border detection using Chebyshev Inequality; and 4) border matching using Gale-Shapley’s stable matching algorithm. When applied to yeast Reb1 and human CTCF ChIP-exo data, MACE is able to define TFBSs with higher sensitivity, specificity and spatial resolution, as evidenced by multiple criteria, such as motif enrichment, sequence conservation, nucleosome positioning, and open chromatin states.

This is a project to model out different option scenarios using Java and price them accordingly. The hope is to take this practice out of wall street's hands and allow everyone to price and run sensitivity analysis without paying an analyst.