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CompareSVM: supervised, Support Vector Machine (SVM) inference of gene regularity networks
BACKGROUND: Predication of gene regularity network (GRN) from expression data is a challenging task. There are many methods that have been developed to address this challenge ranging from supervised to unsupervised methods. Most promising methods are based on support vector machine (SVM). There is a...
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| 發表在: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
BioMed Central
2014
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4260380/ https://ncbi.nlm.nih.gov/pubmed/25433465 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-014-0395-x |
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