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Automated annotation of gene expression image sequences via non-parametric factor analysis and conditional random fields
Motivation: Computational approaches for the annotation of phenotypes from image data have shown promising results across many applications, and provide rich and valuable information for studying gene function and interactions. While data are often available both at high spatial resolution and acros...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3694682/ https://ncbi.nlm.nih.gov/pubmed/23812993 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btt206 |
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