Quasar
Quasar extends the Orange suite to provide data analysis modules for interactive visualization, machine learning, and data fusion applied to biomedical and spectroscopy datasets.
Key Features:
- Interactive Data Visualization: Provides visual workflows for exploring and interpreting complex datasets.
- Advanced Machine Learning Integration: Incorporates a variety of machine learning techniques for pattern extraction and analysis within analysis pipelines.
- Data Fusion Capabilities: Enables integration and joint analysis of heterogeneous datasets, including spectroscopy data.
Scientific Applications:
- Biomedical research: Supports analysis of large-scale datasets from multiple replicates and experimental techniques, including high data rates from novel instruments.
- Spectroscopy (including infrared): Applies machine learning to infrared and other spectroscopy datasets for feature extraction and interpretation.
Methodology:
Demonstrated through case studies that analyze infrared spectroscopy data using various machine learning techniques.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Windows
- Added:
- 2/6/2022
- Last Updated:
- 2/6/2022
Operations
Publications
Toplak M, Read ST, Sandt C, Borondics F. Quasar: Easy Machine Learning for Biospectroscopy. Cells. 2021;10(9):2300. doi:10.3390/cells10092300. PMID:34571947. PMCID:PMC8466383.
Documentation
Training material
https://github.com/biolab/orange-lecture-notesDownloads
- Downloads pagehttps://quasar.codes/download/