Awesome papers and codes list of analytical chemistry-related deep learning methods
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Updated
Apr 23, 2024
Awesome papers and codes list of analytical chemistry-related deep learning methods
Quantitative analysis of chemicals
RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis
Software for the optimization of stability constants from potentiometric titration data.
A Python utility for the processing and quantification of chromatography data
A shiny app for testing equality of mean and variance in one or groups of normal data.
[Analytical Chemistry] Enhanced Structure-Based Prediction of Chiral Stationary Phases for Chromatographic Enantioseparation from 3D Molecular Conformations
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PoliBrush is a freely distributed, stand-alone software designed for teaching exploratory multivariate analysis in the frame of color RGB and spectral imaging. PoliBrush implements principal component analysis (PCA) as its core method.
The scripts uploaded in this repository were developed for the automated processing of fluorescence microscopy images of Nile Red stained microplastics
Error Estimation of Four main Approximation Equations with Mathematica
An open-source Matlab toolbox for multivariate statistical analysis and data mining
A Shiny R project to ease the statistical validation of analytical methods
Data hub and data tool repository related to the NIST PFAS Program.
Helper Functions For Dealing With GCMS and LCMS data from IonAnalytics
Targeted pipeline to quantify metabolomics datasets produced by QExactive and Triple Quadrupole Mass Specs.
A capillary electrophoresis data extraction utility for Karat32 data files
A Python package to plot fractional composition diagrams and pH-log c diagrams
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