Comparison of Dimensionality Reduction Methods in Mass Spectra of Astrocytoma and Glioblastoma Tissues-Reference-Cited by-同舟云学术

Comparison of Dimensionality Reduction Methods in Mass Spectra of Astrocytoma and Glioblastoma Tissues

Published:2021-03-13 Issue:1 Volume:10 Page:A0094-A0094
ISSN:2186-5116
Container-title:Mass Spectrometry
language:en
Short-container-title:Mass Spectrometry

Author:

Zhvansky Evgeny¹,Sorokin Anatoly¹²³,Shurkhay Vsevolod¹⁴,Zavorotnyuk Denis¹,Bormotov Denis¹,Pekov Stanislav⁵,Potapov Alexander⁴,Nikolaev Evgeny⁶,Popov Igor¹

Affiliation:

1. Moscow Institute of Physics and Technology

2. Institute of Cell Biophysics RAS

3. Institute of Systems, Molecular and Integrative Biology, University of Liverpool

4. Federal State Autonomous Institution «N.N. Burdenko National Scientific and Practical Center for Neurosurgery» of the Ministry of Healthcare of the Russian Federation

5. N.N. Semenov Federal Research Center of Chemical Physics Russian Academy of Sciences

6. Skolkovo Institute of Science and Technology

Publisher

The Mass Spectrometry Society of Japan

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics

Link

https://www.jstage.jst.go.jp/article/massspectrometry/10/1/10_A0094/_pdf

Reference38 articles.

1. 1) A. Y. Ermolaev, L. Y. Kravets, S. V. Smetanina, A. A. Kolpakova, K. S. Yashin, A. V. Morev, O. V. Smetatina, E. A. Klyuev, I. A. Medyanik. Cytologic control of the resection margins of hemispheric gliomas and metastases. Vopr. Neirokhir. 84: 33–42, 2020.

2. 2) J. S. Cordova, H.-K. G. Shu, Z. Liang, S. S. Gurbani, L. A. D. Cooper, C. A. Holder, J. J. Olson, B. Kairdolf, E. Schreibmann, S. G. Neill, C. G. Hadjipanayis, H. Shim. Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients. Neuro-oncol. 18: 1180–1189, 2016.

3. 3) J. R. Fink, M. Muzi, M. Peck, K. A. Krohn. Multimodality brain tumor imaging: MR imaging, PET, and PET/MR imaging. J. Nucl. Med. 56: 1554–1561, 2015.

4. 4) T. Lagerweij, S. A. Dusoswa, A. Negrean, E. M. L. Hendrikx, H. E. de Vries, J. Kole, J. J. Garcia-Vallejo, H. D. Mansvelder, W. P. Vandertop, D. P. Noske, B. A. Tannous, R. J. P. Musters, Y. van Kooyk, P. Wesseling, X. W. Zhao, T. Wurdinger. Optical clearing and fluorescence deep-tissue imaging for 3D quantitative analysis of the brain tumor microenvironment. Angiogenesis 20: 533–546, 2017.

5. 5) D. Y. Zhang, S. Singhal, J. Y. K. Lee. Optical principles of fluorescence-guided brain tumor surgery: A practical primer for the neurosurgeon. Neurosurgery 85: 312–324, 2019.

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