Reposted by tsei
This https://arxiv.org/abs/2505.17786 has been replaced. https://bsky.app/profile/did:plc:3mbqqo3dxddhl7nwqmghsn6a/post/3lq2jmgjgzm2e
Sho Oshima, Yuji Okamoto, Taisei Tosaki, Ryosuke Kojima, Yasushi Okuno: Supervised Graph Contrastive Learning for Gene Regulatory Network https://arxiv.org/abs/2505.17786 https://arxiv.org/pdf/2505.17786 https://arxiv.org/html/2505.17786
June 6, 2025 at 6:52 AM
Reposted by tsei
Sho Oshima, Yuji Okamoto, Taisei Tosaki, Ryosuke Kojima, Yasushi Okuno: Supervised Graph Contrastive Learning for Gene Regulatory Network https://arxiv.org/abs/2505.17786 https://arxiv.org/pdf/2505.17786 https://arxiv.org/html/2505.17786
May 26, 2025 at 6:16 AM
Sho Oshima, Yuji Okamoto, Taisei Tosaki, Ryosuke Kojima, Yasushi Okuno: Supervised Graph Contrastive Learning for Gene Regulatory Network https://arxiv.org/abs/2505.17786 https://arxiv.org/pdf/2505.17786 https://arxiv.org/html/2505.17786
Reposted by tsei
Out-of-distribution reject option method for dataset shift problem in early disease onset prediction
->Nature | #Disease #Health | More info from EcoSearch
->Nature | #Disease #Health | More info from EcoSearch
Out-of-distribution reject option method for dataset shift problem in early disease onset prediction
Several cohort studies8,25,26 have been conducted that reflect the regional characteristics of Japan. Some of these studies have multi-item health examination data, including physiological and biochemical data, such as blood and respiratory metrics; data on personal activities, such as diet,...
www.nature.com
June 2, 2025 at 7:10 AM