Genetic Discrimination of Grade 3 and Grade 4 Gliomas by Artificial Neural Network
Author:
Funder
Russian Foundation for Basic Research
Publisher
Springer Science and Business Media LLC
Subject
Cell Biology,Cellular and Molecular Neuroscience,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10571-023-01448-z.pdf
Reference41 articles.
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2. Chever O, Djukic B, McCarthy KD, Amzica F (2010) Implication of Kir4.1 channel in excess potassium clearance: an in vivo study on anesthetized glial-conditional Kir4.1 knock-out mice. J Neurosci 30:15769–15777. https://doi.org/10.1523/JNEUROSCI.2078-10.2010
3. Childs KS (2003) Identification of novel co-repressor molecules for Interferon Regulatory Factor-2. Nucleic Acids Res 31:3016–3026. https://doi.org/10.1093/nar/gkg431
4. Choi JK, Yu U, Yoo OJ, Kim S (2005) Differential coexpression analysis using microarray data and its application to human cancer. Bioinformatics 21:4348–4355. https://doi.org/10.1093/bioinformatics/bti722
5. Christians A, Adel-Horowski A, Banan R, Lehmann U, Bartels S, Behling F, Barrantes-Freer A, Stadelmann C, Rohde V, Stockhammer F, Hartmann C (2019) The prognostic role of IDH mutations in homogeneously treated patients with anaplastic astrocytomas and glioblastomas. Acta Neuropathol Commun. https://doi.org/10.1186/s40478-019-0817-0
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