ML Anthology

Unravelling Causal Genetic Biomarkers of Alzheimer's Disease via Neuron to Gene-Token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach

Victor O. K. Li, Yang Han, Jacqueline C. K. Lam
AAAI 2025 pp. 18466-18475
doi:10.1609/AAAI.V39I17.34032 /aaai/2025/li2025aaai-unravelling/
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Cite

Text

Li et al. "Unravelling Causal Genetic Biomarkers of Alzheimer's Disease via Neuron to Gene-Token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I17.34032

Markdown

[Li et al. "Unravelling Causal Genetic Biomarkers of Alzheimer's Disease via Neuron to Gene-Token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/li2025aaai-unravelling/) doi:10.1609/AAAI.V39I17.34032

BibTeX

@inproceedings{li2025aaai-unravelling,
  title     = {{Unravelling Causal Genetic Biomarkers of Alzheimer's Disease via Neuron to Gene-Token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach}},
  author    = {Li, Victor O. K. and Han, Yang and Lam, Jacqueline C. K.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {18466-18475},
  doi       = {10.1609/AAAI.V39I17.34032},
  url       = {https://mlanthology.org/aaai/2025/li2025aaai-unravelling/}
}