Conference proceeding
IMSmining: A Tool for Imaging Mass Spectrometry Data Biomarker Selection and Classification
MATHEMATICS AND COMPUTING, v 139
01 Jan 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We developed IMSmining, a free software tool combining functions of intuitive visualization of imaging mass spectrometry (IMS) data with advanced analysis algorithms in a single package which is easy to operate. Main functions of IMSmining include data visualization, biomarker selection, and classification using advanced multivariate analysis methods such as elastic net, sparse PCA, as well as wavelets. It can be used to study the correlation and distribution of the IMS data by incorporating the spatial information in the entire image cube and to help finding the distinction of the possible features caused by the biological structure and the potential biomarkers. This software package can be downloaded from http://capone.mtsu.edu/dhong/IMSmining.htm.
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Details
- Title
- IMSmining: A Tool for Imaging Mass Spectrometry Data Biomarker Selection and Classification
- Creators
- Jingsai Liang - Middle Tennessee State UniversityDon Hong - Middle Tennessee State UniversityFengqing (Zoe) Zhang - Drexel UniversityJiancheng Zou - Middle Tennessee State University
- Contributors
- R N Mohapatra (Editor)D R Chowdhury (Editor)D Giri (Editor)
- Publication Details
- MATHEMATICS AND COMPUTING, v 139
- Series
- Springer Proceedings in Mathematics & Statistics
- Publisher
- Springer Nature
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000380494800011
- Scopus ID
- 2-s2.0-84947068397
- Other Identifier
- 991019201386804721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Mathematics, Applied