Tutkimustuotoksia vuodessa
Tutkimustuotoksia vuodessa
Description
Dataset used for evaulation and method development.
The SQLite database contains the pre-computed tandem mass spectra (MS2) and retention order scores used for the experiments in the publication: "Probabilistic Framework for Integration of Mass Spectrum and Retention Time Information in Small Molecule Identification" by Bach et al. (2020).
A detailed description of the database structure is given in the 'README.md' and can also be found in the code-repository associated with the publication. The database layout is illustrated in the 'db_layout.png' file.
The SQLite database contains the pre-computed tandem mass spectra (MS2) and retention order scores used for the experiments in the publication: "Probabilistic Framework for Integration of Mass Spectrum and Retention Time Information in Small Molecule Identification" by Bach et al. (2020).
A detailed description of the database structure is given in the 'README.md' and can also be found in the code-repository associated with the publication. The database layout is illustrated in the 'db_layout.png' file.
| Koska saatavilla | 1 huhtik. 2020 |
|---|---|
| Tietojen luontipäivämäärä | 1 elok. 2019 - 1 elok. 2020 |
Dataset Licences
- CC-BY-4.0
Tutkimustuotos
- 1 Article
-
Probabilistic Framework for Integration of Mass Spectrum and Retention Time Information in Small Molecule Identification
Bach, E., Rogers, S., Williamson, J. & Rousu, J., 27 marrask. 2020, julkaisussa: Bioinformatics. 37, 12, s. 1724-1731 8 SivumääräTutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu
Open accessTiedosto4 Sitaatiot (Scopus)58 Lataukset (Pure)
Projektit
- 1 Päättynyt
-
Koneoppimismenetelmät laskennallisessa metabolomiikassa
Rousu, J., Sabzevari, M., Brouard, C., Huusari, R. & Bach, E.
01/09/2017 → 31/08/2021
Projekti: Academy of Finland: Other research funding