Murakami, K.; Tago, S.-i.; Takishita, S.; Morikawa, H.; Kojima, R.; Yokoyama, K.; Ogawa, M.; Fukushima, H.; Takamori, H.; Nannya, Y.;
et al. Pathogenicity Prediction of Gene Fusion in Structural Variations: A Knowledge Graph-Infused Explainable Artificial Intelligence (XAI) Framework. Cancers 2024, 16, 1915.
https://doi.org/10.3390/cancers16101915
AMA Style
Murakami K, Tago S-i, Takishita S, Morikawa H, Kojima R, Yokoyama K, Ogawa M, Fukushima H, Takamori H, Nannya Y,
et al. Pathogenicity Prediction of Gene Fusion in Structural Variations: A Knowledge Graph-Infused Explainable Artificial Intelligence (XAI) Framework. Cancers. 2024; 16(10):1915.
https://doi.org/10.3390/cancers16101915
Chicago/Turabian Style
Murakami, Katsuhiko, Shin-ichiro Tago, Sho Takishita, Hiroaki Morikawa, Rikuhiro Kojima, Kazuaki Yokoyama, Miho Ogawa, Hidehito Fukushima, Hiroyuki Takamori, Yasuhito Nannya,
and et al. 2024. "Pathogenicity Prediction of Gene Fusion in Structural Variations: A Knowledge Graph-Infused Explainable Artificial Intelligence (XAI) Framework" Cancers 16, no. 10: 1915.
https://doi.org/10.3390/cancers16101915
APA Style
Murakami, K., Tago, S. -i., Takishita, S., Morikawa, H., Kojima, R., Yokoyama, K., Ogawa, M., Fukushima, H., Takamori, H., Nannya, Y., Imoto, S., & Fuji, M.
(2024). Pathogenicity Prediction of Gene Fusion in Structural Variations: A Knowledge Graph-Infused Explainable Artificial Intelligence (XAI) Framework. Cancers, 16(10), 1915.
https://doi.org/10.3390/cancers16101915
