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MALDI Imaging mass spectrometry: current frontiers and perspectives in pathology research and practice
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Cited by
How many human proteoforms are there?
Aebersold, R., Agar, J. N., Amster, I. J., Baker, M. S., Bertozzi, C. R., Boja, E. S., Costello, C. E., Cravatt, B. F., Fenselau, C., Garcia, B. A., et al. (2018) · Nature Chemical Biology · doi:10.1038/nchembio.2576 · Cited by 907
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Explainable multiview framework for dissecting spatial relationships from highly multiplexed data
(2022) · doi:10.1186/s13059-022-02663-5 · Cited by 297
Spatial Metabolomics and Imaging Mass Spectrometry in the Age of Artificial Intelligence
Alexandrov, T. (2020) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-011420-031537 · Cited by 284
Metadata
- Authors
- Aichler, M., & Walch, A.
- Venue
- Laboratory Investigation
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 95
- Issue
- 4
- Pages
- 422-431
- ISSN
- 0023-6837 (ISSN-L)
- OpenAlex
- W2039946906
- Cited by
- 457
- References
- 94
- FWCI
- 21.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 2842 d)
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- Aichler, M., & Walch, A. (2015). MALDI Imaging mass spectrometry: current frontiers and perspectives in pathology research and practice. Laboratory Investigation. https://doi.org/10.1038/labinvest.2014.156
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.