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Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model
BACKGROUND: A living cell has a complex, hierarchically organized signaling system that encodes and assimilates diverse environmental and intracellular signals, and it further transmits signals that control cellular responses, including a tightly controlled transcriptional program. An important and...
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| Publicat a: | BMC Bioinformatics |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4895523/ https://ncbi.nlm.nih.gov/pubmed/26818848 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0852-1 |
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