CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics
Abstract Identifying molecular drivers and diagnostic genes for neurocognitive disorders (NDs) remains a major challenge due to the prevalence of variants of uncertain significance (VUS) and limitations in current diagnostic platforms. While artificial intelligence (AI) offers potential solutions, e...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Wiley
2026-02-01
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| Serija: | Advanced Science |
| Teme: | |
| Online dostop: | https://doi.org/10.1002/advs.202512842 |
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