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Starred repositories
Interesting resources related to XAI (Explainable Artificial Intelligence)
🗳📊An R package for acquiring and analyzing political data — including polls, election results, legislator information, and demographic data.
This is a dashboard, similar to the one from Johns Hopkins using open source technology.
R package: tabr. Notation-based and tidy music data analysis and transcription.
Low level infrastructure to handle MS spectra
Parsers for chromatography data in R (HPLC-DAD/UV, GC-FID, MS)
An modular and extensible app for visualization of mass spectrometry data and optimization of data acquisition.
Data sets to support the Expert Data Analysis with R workshop
Compile Mass Spectral Libraries from Various Sources
A Shiny web app template using a dark theme with support for custom CSS
R package accompanying the second edition of "Chemometrics with R", Springer
MassBank / RMassBank
Forked from sneumann/RMassBankPlayground for experiments on the official http://bioconductor.org/packages/devel/bioc/html/RMassBank.html
builds the PubChem Bioassay database that is distributed for use with bioassayR
Project visualized and analyzed data of full history of airplane crashes throughout the world, from 1908 to present. Link to shiny app is attached here:
Cross-target analysis of small molecule bioactivity - This is the official development repository
The social media sentiment analysis web app, written in Shiny R, allows users to analyze the sentiment of social media posts and understand how their brand is perceived online. This app provides va…
randerson112358 / coursera-r-programming-1-data-science
Forked from cynthia0611/coursera-r-programming-1Notes from the R programming Coursera course
This dashboard makes it easy to manipulate patient info with sequencing data of the COVID-19 pandemic and display it as chronology, summary tables and phylogenic trees
Convert mass spectrometry raw data to mzXML or other format data.
randerson112358 / nbastatR
Forked from abresler/nbastatRNBA Stats API Wrapper and more for R, in its extreme infancy so beware.