PyAMARES, an Open-Source Python Library for Fitting Magnetic Resonance Spectroscopy Data
Jia Xu, Michael Vaeggemose, Rolf F Schulte, Baolian Yang, Chu-Yu Lee, Christoffer Laustsen, Vincent A Magnotta, Dechang Chen · 2024
Read PyAMARES, an Open-Source Python Library for Fitting Magnetic Resonance Spectroscopy Data by Jia Xu, Michael Vaeggemose, Rolf F Schulte, Baolian Yang, Chu-Yu Lee, Christoffer Laustsen, Vincent A Magnotta, Dechang Chen (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11639817.txt.
Description
Xu and co-authors release a free Python library that fits magnetic resonance spectra, a task used to measure body chemistry without surgery. The fitting method it copies, called AMARES, is widely used but lived in older software. Their 2024 library rebuilds it for Python, the language most data scientists now use, and adds the ability to run on many processor cores at once.
Settings and prior knowledge go in through spreadsheets, which the authors say eases use. Tests on fake and real body data matched two established tools in accuracy and precision. The library also supports fits with no prior knowledge and a few special cleaning tasks. Full documents and open code aim to lift repeatability in the field.
Catalog record
| CREATOR | Jia Xu, Michael Vaeggemose, Rolf F Schulte, Baolian Yang, Chu-Yu Lee, Christoffer Laustsen, Vincent A Magnotta, Dechang Chen |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 51 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |