Machine learning techniques for mass spectrometry imaging data analysis and applications-Reference-Cited by-同舟云学术

Machine learning techniques for mass spectrometry imaging data analysis and applications

Published:2018-04-01 Issue:8 Volume:10 Page:519-522
ISSN:1757-6180
Container-title:Bioanalysis
language:en
Short-container-title:Bioanalysis

Author:

Zhang Ye¹,Liu Xin²

Affiliation:

1. Department of Biological Sciences, University of Notre Dame, 142 Galvin Life Sciences Center, Notre Dame, IN 46556, USA

2. Department of Chemistry & Biochemistry & the Harper Cancer Research Institute, University of Notre Dame, 140 McCourtney Hall, Notre Dame, IN 46556, USA

Publisher

Future Science Ltd

Subject

Medical Laboratory Technology,Clinical Biochemistry,General Pharmacology, Toxicology and Pharmaceutics,General Medicine,Analytical Chemistry

Link

http://www.future-science.com/doi/pdf/10.4155/bio-2017-0281

Reference18 articles.

1. Mass Spectrometry Imaging of Therapeutics from Animal Models to Three-Dimensional Cell Cultures

2. Rapid Mass Spectrometry Imaging to Assess the Biochemical Profile of Pituitary Tissue for Potential Intraoperative Usage

3. Mass Spectrometry Imaging: A Review of Emerging Advancements and Future Insights

4. Machine learning approaches in MALDI-MSI: clinical applications

5. Matrix-Assisted Laser Desorption/Ionisation Mass Spectrometry Imaging in the Study of Gastric Cancer: A Mini Review

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