Use of PLS Discriminant Analysis for Revealing the Absence of a Compound in an Electron Ionization Mass Spectral Database
- Авторлар: Sotnezova K.M.1, Samokhin A.S.1, Revelsky I.A.1
- 
							Мекемелер: 
							- Department of Chemistry
 
- Шығарылым: Том 72, № 14 (2017)
- Беттер: 1419-1425
- Бөлім: Articles
- URL: https://journals.rcsi.science/1061-9348/article/view/182756
- DOI: https://doi.org/10.1134/S1061934817140143
- ID: 182756
Дәйексөз келтіру
Аннотация
A mathematical model is proposed for revealing the absence of a compound to be identified in an electron impact mass spectral library. The mathematical model (developed based on PLS Discriminant Analysis) can be represented as a “black box” which provides an answer whether a compound to be sought is absent or present in a database. The match factors of top ten candidates among the possible ones were used as input data. More than 5000 objects (mass spectra) were used at the steps of training, validation, and testing. The developed classification model provides correct prediction (of whether a compound is absent from the library) in 28.4% cases, while only 1.2% of compounds present in the database were incorrectly classified as the absent ones.
Авторлар туралы
K. Sotnezova
Department of Chemistry
							Хат алмасуға жауапты Автор.
							Email: ksotnezova.90@gmail.com
				                					                																			                												                	Ресей, 							Moscow, 119991						
A. Samokhin
Department of Chemistry
														Email: ksotnezova.90@gmail.com
				                					                																			                												                	Ресей, 							Moscow, 119991						
I. Revelsky
Department of Chemistry
														Email: ksotnezova.90@gmail.com
				                					                																			                												                	Ресей, 							Moscow, 119991						
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