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Unified representation of high- and low-resolution spectra to facilitate application of mass spectrometric techniques in clinical practiceстатья
- Авторы: Zhvansky E.S., Sorokin A.A., Pekov S.I., Indeykina M.I., Ivanov D.G., Shurkhay V.A., Eliferov V.A., Zavorotnyuk D.S., Levin N.G., Bocharov K.V., Tkachenko S.I., Belenikin M.S., Potapov A.A., Nikolaev E.N., Popov I.A.
- Журнал: Clinical Mass Spectrometry
- Том: 12
- Год издания: 2019
- Издательство: ELSEVIER SCIENCE BV
- Местоположение издательства: PO BOX 211, AMSTERDAM, NETHERLANDS, 1000 AE
- Первая страница: 37
- Последняя страница: 46
- DOI: 10.1016/j.clinms.2019.03.004
- Аннотация: The majority of research in the biomedical sciences is carried out with the highest resolution accessible to the scientist, but, in the clinic, cost constraints necessitate the use of low-resolution devices. Here, we compare high- and low-resolution direct mass spectrometry profiling data and propose a simple pre-processing technique that makes high-resolution data suitable for the development of classification and regression techniques applicable to low-resolution data, while retaining high accuracy of analysis. This work demonstrates an approach to de-noising spectra to make the same representation for both high- and low-resolution spectra. This approach uses noise threshold detection based on the Tversky index, which compares spectra with different resolutions, and minimizes the percentage of resolution-specific peaks. The presented method provides an avenue for the development of analytical algorithms using high-resolution mass spectrometry data, while applying these algorithms in the clinic using low-resolution mass spectrometers.
- Добавил в систему: Беленикин Максим Сергеевич