Generalized information criteria for personalized gene network inference
Identifying individual genomic characteristics is a critical focus in personalized therapies. To reveal targets in such therapies, we considered personalized gene network analysis using kernel-based L1-type regularization methods. In kernel-based L1-type regularized modeling, selecting optimal regul...
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| Main Authors: | Heewon Park, Seiya Imoto, Sadanori Konishi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Genetics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2025.1583756/full |
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