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On transformative adaptive activation functions in neural networks for gene expression inference
Gene expression profiling was made more cost-effective by the NIH LINCS program that profiles only ∼1, 000 selected landmark genes and uses them to reconstruct the whole profile. The D–GEX method employs neural networks to infer the entire profile. However, the original D–GEX can be significantly im...
Guardat en:
| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7808640/ https://ncbi.nlm.nih.gov/pubmed/33444316 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0243915 |
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