title: Matrix Factorization Techniques for Analysis of Imaging Mass Spectrometry Data.
abstract: Imaging mass spectrometry is a method for understanding the molecular distribution in a two-dimensional sample. This method is effective for a wide range of molecules, but generates a large amount of data. It is difficult to extract important information from these large datasets manually and automated methods for discovering important spatial and spectral features are needed. Independent component analysis and non-negative matrix factorization are explained and explored as tools for identifying underlying factors in the data. These techniques are compared and contrasted with principle component analysis, the more standard analysis tool. Independent component analysis and non-negative matrix factorization are found to be more effective analysis methods. A mouse cerebellum dataset is used for testing.
authors.affiliation: School of Electrical and Computer Engineering, Georgia Tech, Atlanta, GA 30332 USA ( petersiy@gatech.edu ).
authors.forename: Peter W
authors.initials: PW
authors.lastname: Siy
authors.affiliation: Department of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, GA USA ( R.Moffitt@gatech.edu ).
authors.forename: Richard A
authors.initials: RA
authors.lastname: Moffitt
authors.affiliation: Department of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, GA USA ( parry@bme.gatech.edu ).
authors.forename: R Mitchell
authors.initials: RM
authors.lastname: Parry
authors.affiliation: School of Chemistry & Biochemistry, Georgia Tech, Atlanta, GA USA.
authors.forename: Yanfeng
authors.initials: Y
authors.lastname: Chen
authors.affiliation: School of Biology, Georgia Tech, Atlanta, GA USA.
authors.forename: Ying
authors.initials: Y
authors.lastname: Liu
authors.affiliation: Schools of Biology and Chemistry & Biochemistry, Georgia Tech, Atlanta, GA USA.
authors.forename: M Cameron
authors.initials: MC
authors.lastname: Sullards
authors.affiliation: Schools of Biology and Chemistry & Biochemistry, and the Petit Institute for Bioengineering and Biosciences, Georgia Tech, Atlanta, GA USA.
authors.forename: Alfred H
authors.initials: AH
authors.lastname: Merrill
authors.affiliation: Department Biomedical Engineering, Georgia Tech and Emory University, the School of Electrical and Computer Engineering, and the Petit Institute for Bioengineering and Biosciences, Georgia Tech, Atlanta, GA USA (phone: 404-385-2954; fax: 404-385-4243; maywang@bme.gatech.edu ).
authors.forename: May D
authors.initials: MD
authors.lastname: Wang