How to Apply Supervised Machine Learning Tools to MS Imaging Files: Case Study with Cancer Spheroids Undergoing Treatment with the Monoclonal Antibody Cetuximab-Reference-Cited by-同舟云学术

How to Apply Supervised Machine Learning Tools to MS Imaging Files: Case Study with Cancer Spheroids Undergoing Treatment with the Monoclonal Antibody Cetuximab

Published:2020-05-29 Issue:7 Volume:31 Page:1350-1357
ISSN:1044-0305
Container-title:Journal of the American Society for Mass Spectrometry
language:en
Short-container-title:J. Am. Soc. Mass Spectrom.

Author:

Hua David¹,Liu Xin²,Go Eden P.¹,Wang Yijia²,Hummon Amanda B.²^ORCID,Desaire Heather¹^ORCID

Affiliation:

1. Department of Chemistry, University of Kansas, Lawrence, Kansas 66045, United States

2. Department of Chemistry and Biochemistry and the Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio 43210, United States

Funder

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

Spectroscopy,Structural Biology

Link

https://pubs.acs.org/doi/pdf/10.1021/jasms.0c00010

Reference20 articles.

1. A wide-angle secondary ion probe for organic ion imaging

2. Molecular Imaging of Biological Samples: Localization of Peptides and Proteins Using MALDI-TOF MS

3. Metabolic Markers and Statistical Prediction of Serous Ovarian Cancer Aggressiveness by Ambient Ionization Mass Spectrometry Imaging

4. Molecular cartography of the human skin surface in 3D

5. MALDI Mass Spectrometry Imaging for Evaluation of Therapeutics in Colorectal Tumor Organoids

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