SIGMA: self-supervised inference of gene networks via masked auto-encoding
ObjectivesInferring gene regulatory networks (GRNs) from expression profiles is essential for identifying critical genes within complex disease pathways. However, current machine learning-based GRN inference methods face two challenges. Unsupervised methods struggle to achieve satisfactory accuracy...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2026-06-01
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| Schriftenreihe: | Frontiers in Genetics |
| Schlagworte: | |
| Online-Zugang: | https://www.frontiersin.org/articles/10.3389/fgene.2026.1825728/full |
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