Bioinformatics methods and their comparative analysis of mass spectrometry / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
; (6): 357-361, 2012.
Article
in Zh
| WPRIM
| ID: wpr-342928
Responsible library:
WPRO
ABSTRACT
The protein spectrometry holds such characteristics of complex and large volumes of data that the general statistical methods can't satisfy the demand of disease prediction or classification. Several kinds of main methods of mass spectrometry data mining,such as decision tree analysis, partial least squares, artificial neural networks and support vector machines is overviewed in bioinformatics perspective. And examples of different methods used to diagnose disease are illustrated. These show an important role of mass spectrometry in identification and prediction of disease.
Full text:
1
Index:
WPRIM
Main subject:
Mass Spectrometry
/
Artificial Intelligence
/
Decision Trees
/
Least-Squares Analysis
/
Neural Networks, Computer
/
Computational Biology
/
Data Mining
/
Support Vector Machine
Type of study:
Prognostic_studies
Language:
Zh
Journal:
Chinese Journal of Medical Instrumentation
Year:
2012
Type:
Article