Latent disease similarities and therapeutic repurposing possibilities uncovered by multi-modal generative topic modeling of human diseases
Satoshi Kozawa, Hirona Yokoyama, Kyoji Urayama, Kengo Tejima, Hotaka Doi, Shunki Takagi, Thomas N. Sato
This paper uses multi-modal generative topic modeling to identify latent disease similarities and therapeutic targets for repurposing across human diseases.
Bioinformatics Advances · Jan 1, 2023Peer-reviewedBioinformatics