Method for mass spectrometry spectrum deisotoping based on fuzzy inference systems

Anna Glodek, and Joanna Polańska. "Method for mass spectrometry spectrum deisotoping based on fuzzy inference systems." Mathematica Applicanda 46.1 (2018): null. <http://eudml.org/doc/292623>.

@article{AnnaGlodek2018,
abstract = {Nowadays, mass spectrometry is widely used in proteomics for confident and precise identification of the protein. One of the most important steps in the signal analysis is deisotoping because some peaks in the spectrum are not the unique compound, but there are members of an isotopic envelope. Although the mass spectrometry is present in proteomics for a long time already, the problem of isotope peaks identification is not solved yet. The existing algorithms, usually designed for the particular type of spectrometer, are semi-supervised and do not give satisfactory results. We propose a new algorithm based on fuzzy inference systems that can accurately identify the isotopic envelopes in the spectrum of the complex structure.},
author = {Anna Glodek, Joanna Polańska},
journal = {Mathematica Applicanda},
keywords = {fuzzy logic, fuzzy inference systems, deisotoping, mass spectrometry, algorithms, proteomics, applied mathematics},
language = {eng},
number = {1},
pages = {null},
title = {Method for mass spectrometry spectrum deisotoping based on fuzzy inference systems},
url = {http://eudml.org/doc/292623},
volume = {46},
year = {2018},
}

TY - JOUR
AU - Anna Glodek
AU - Joanna Polańska
TI - Method for mass spectrometry spectrum deisotoping based on fuzzy inference systems
JO - Mathematica Applicanda
PY - 2018
VL - 46
IS - 1
SP - null
AB - Nowadays, mass spectrometry is widely used in proteomics for confident and precise identification of the protein. One of the most important steps in the signal analysis is deisotoping because some peaks in the spectrum are not the unique compound, but there are members of an isotopic envelope. Although the mass spectrometry is present in proteomics for a long time already, the problem of isotope peaks identification is not solved yet. The existing algorithms, usually designed for the particular type of spectrometer, are semi-supervised and do not give satisfactory results. We propose a new algorithm based on fuzzy inference systems that can accurately identify the isotopic envelopes in the spectrum of the complex structure.
LA - eng
KW - fuzzy logic, fuzzy inference systems, deisotoping, mass spectrometry, algorithms, proteomics, applied mathematics
UR - http://eudml.org/doc/292623
ER -