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Integrating phenotype and gene expression data for predicting gene function
BACKGROUND: This paper presents a framework for integrating disparate data sets to predict gene function. The algorithm constructs a graph, called an integrated similarity graph, by computing similarities based upon both gene expression and textual phenotype data. This integrated graph is then used...
Tallennettuna:
| Päätekijät: | , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2009
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3226192/ https://ncbi.nlm.nih.gov/pubmed/19811686 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-10-S11-S20 |
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