Bladder cancer gene expression prediction with explainable algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09142-3.pdf
Reference69 articles.
1. WHO. Bladder cancer. https://www.iarc.who.int/cancer-type/bladder-cancer/ (accessed 2023).
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3. Vadapalli S, Abdelhalim H, Zeeshan S, Ahmed Z (2022) Artificial intelligence and machine learning approaches using gene expression and variant data for personalized medicine. Brief Bioinf 23(5):191. https://doi.org/10.1093/bib/bbac191
4. Abbas M, El-Manzalawy Y (2020) Machine learning based refined differential gene expression analysis of pediatric sepsis. BMC Med ical Genom 13(1):122. https://doi.org/10.1186/s12920-020-00771-4
5. Guneri-Sozeri PY, Erkek-Ozhan S (2022) Identification of the gene expression changes and gene regulatory aspects in ELF3 mutant bladder cancer. Mol Biol Rep 49(4):3135–3147. https://doi.org/10.1007/s11033-022-07145-2
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