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On tower and checkerboard neural network architectures for gene expression inference
BACKGROUND: One possible approach how to economically facilitate gene expression profiling is to use the L1000 platform which measures the expression of ∼1,000 landmark genes and uses a computational method to infer the expression of another ∼10,000 genes. One such method for the gene expression inf...
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| Gepubliceerd in: | BMC Genomics |
|---|---|
| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7739475/ https://ncbi.nlm.nih.gov/pubmed/33327945 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-020-06821-6 |
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