DocumentCode :
636489
Title :
Fast and robust extraction of reliable protein signal profiles from mass spectrometry data by introducing the concept of Single Channel ICA with statistical offset correction
Author :
Neehar, Mavuduru ; Acharyya, Amit
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Hyderabad, Hyderabad, India
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
2692
Lastpage :
2695
Abstract :
In this paper, we introduce the concept of Single Channel Independent Component Analysis (SCICA) for fast extraction of protein profiles from the mass spectra data. Subsequently we propose one offset-correction scheme on the basis of the statistical data analysis of the SCICA-based estimated protein profiles to ensure robustness of the proposed algorithm. The proposed method is also validated rigorously against the simulated data. Such concept, to the best of our knowledge is proposed for the first time in this context of protein profiling and we envisage that the proposed concept will find potential applications in bio-marker discovery especially for cancers.
Keywords :
cancer; data analysis; feature extraction; independent component analysis; mass spectroscopic chemical analysis; medical signal processing; proteins; proteomics; SCICA-based estimated protein profiles; Single Channel Independent Component Analysis; biomarker discovery; cancer; mass spectra data; mass spectrometry data; offset-correction scheme; protein signal profiling; robust extraction; statistical data analysis; statistical offset correction; Data analysis; Delays; Frequency-domain analysis; Mathematical model; Proteins; Robustness; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610095
Filename :
6610095
Link To Document :
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