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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...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2009
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| 主題: | |
| オンライン･アクセス: | 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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