
Python Shiny for machine learning data analysis using point and click and guided decision ChimStat is a powerful app to perform data analysis from mass spectrum analysis (developed using HPLC results). It allows categorical classification with fine-tuning, model validation and evaluation using different metrics. A list of different types of models are available and allows a variety of adaptation to data and research questions. A pre step of dimensionality reduction is also available to take large data into account. A demo version is available https://remylegoff-chimstat.share.connect.posit.cloud/
Jan 1, 2024

R Shiny to extract feature from PubChem. This shiny app aims to help chemist to extract features of interest from PubChem which do not provide API. This app uses webscrapping to extract features which are then compiled in a easy-to-handle dataframe. The code is publicly available on GitHub : https://github.com/remylegoff/Chem_Quest The app is available here
Jan 1, 2024