Unsupervised learning for exploring MALDI imaging mass spectrometry 'omics' data

C.D. Wijetunge; I. Saeed; S.K. Halgamuge; B. Boughton; U. Roessner

doi:10.1109/ICIAFS.2014.7069634

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Conference paper

Unsupervised learning for exploring MALDI imaging mass spectrometry 'omics' data

C.D. Wijetunge, I. Saeed, S.K. Halgamuge, B. Boughton and U. Roessner

7th International Conference on Information and Automation for Sustainability

7th International Conference on Information and Automation for Sustainability (Colombo, Sri Lanka, 22/12/2014–24/12/2014)

2014

DOI: https://doi.org/10.1109/ICIAFS.2014.7069634

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Abstract

Matrix Assisted Laser Desorption Ionization-Imaging Mass Spectrometry (MALDI-IMS) is an emerging data acquisition technology in biological research. It has gained its popularity in `omics' sciences because of its ability to explore the spatial distributions of various bio-molecules in detail. The sheer volume of data generated through this technology and the often limited a priori knowledge about the molecular compositions of biological samples, call for efficient data analysis methods. In this paper, first we review the available computational methods for analyzing the high-dimensional imaging datasets highlighting their advantages and limitations. Then, we propose a more recent unsupervised method as a means of exploring MALDI-IMS data and demonstrate its competency by extracting hidden significant spatial distribution patterns of a rat brain imaging dataset. Finally, we explain the potential future advances of `omics' research associated with MALDI-IMS and the foreseeable challenges in analyzing the resultant data.

Details

Title: Unsupervised learning for exploring MALDI imaging mass spectrometry 'omics' data
Authors/Creators: C.D. Wijetunge (Author/Creator) - The University of Melbourne
I. Saeed (Author/Creator) - The University of Melbourne
S.K. Halgamuge (Author/Creator) - The University of Melbourne
B. Boughton (Author/Creator) - The University of Melbourne
U. Roessner (Author/Creator) - The University of Melbourne
Publication Details: 7th International Conference on Information and Automation for Sustainability
Conference: 7th International Conference on Information and Automation for Sustainability (Colombo, Sri Lanka, 22/12/2014–24/12/2014)
Identifiers: 991005540304907891
Murdoch Affiliation: Murdoch University
Language: English
Resource Type: Conference paper

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