Search Results for "matrix structural analysis"

This library is a compilation of the tools developed in the mljs organization. It is mainly maintained for use in the browser. If you are working with Node.js, you might prefer to add to your dependencies only the libraries that you need, as they are usually published to npm more often. We prefix all our npm package names with ml- (eg. ml-matrix) so they are easy to find.

...The project is widely used in scientific computing, educational software, calculators, engineering tools, and data analysis applications. Its architecture combines accessibility for beginners.

Sour*eforge.net has become inaccesible to me because of Cl*udflare. The latest versions of the programs will be on my site: https://matei.one/. mtfem - finite element analysis, 2D, plane strain state (C, SDL), GNU/Linux and Wind0ws executables present; mtpile - analysis of a laterally loaded pile (C, SDL); mtslope - slope stability and displacement analysis using limit equilibrium (C,SDL); jswall - analysis of a diaphragm wall (JavaScript); jsmath - mathematics: polynomial equations, linear systems of equations, eigenvalues, matrix multiplication, matrix inversion (JavaScript); mtwall - obsolete program for analysing a diaphragm wall (C, SDL). ...

NAVAL-QDA is a desktop application for qualitative data analysis (QDA). Import interview transcripts, documents, and media; code them against a hierarchical node tree; classify sources by case and attribute; write analytic memos; run text and coding queries; visualize patterns; and generate reports — all from a local Electron + React app. Key features: import .txt/.docx/.pdf plus audio/video for transcription; hierarchical coding with merge/move and percent-coded tracking; cases, attributes, and a classification sheet; memos linked to sources, cases, or nodes; text search, word frequency, coding, matrix coding, and coding-comparison queries; word cloud, hierarchy treemap, and similarity-cluster visualizations; coding reports and project summaries; and optional, opt-in AI-assisted summaries/code suggestions. ...

We leverage the most cutting-edge computational technologies to develop a virtual reality (VR) system - VRmol - that provides the visualization and analysis of macromolecule structures in an infinite virtual environment on the web. VRmol is natively built with WebVR technology, providing all structural analysis functions in a fully immersive, inspiring virtual environment. It is convenient to use, runs on the internet, and requires no software downloading and installation. And by connecting to a number of cloud-based genomic and drug databases, it provides an integrative platform to perform advanced structural and translational research. ...

Clustergrammer is a visualization library built using D3.js that enables intuitive interaction with high-dimensional data. Clustergrammer was built with biological data in mind. Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer's front end (Clustergrammer-JS) is built using D3.js and its back-end (Clustergrammer-PY) is built using Python. Clustergrammer produces highly interactive visualizations that enable intuitive exploration of high-dimensional data and has several biology-specific features (e.g. enrichment analysis, see Biology-Specific Features) to facilitate the exploration of gene-level biological data.

CLEF is a Max-based modular environment for composition and performance of live electronics, developed at CIRMMT/McGill University.

 CLEF follows structural design concepts and allows users to rapidly create digital signal processing topologies and control data taking advantage of the provided infrastructure and feature set. 
 CLEF separates domain model from data access layer and user interface, relying on dedicated technologies: OpenSoundControl for data access, Max dictionaries for...

PhenoFam is a web-based application that performs gene set enrichment analysis (GSEA) by employing structural and functional information on families of protein domains as annotation terms.