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Evaluation of data discretization methods to derive platform independent isoform expression signatures for multi-class tumor subtyping
BACKGROUND: Many supervised learning algorithms have been applied in deriving gene signatures for patient stratification from gene expression data. However, transferring the multi-gene signatures from one analytical platform to another without loss of classification accuracy is a major challenge. He...
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| Foilsithe in: | BMC Genomics |
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| Main Authors: | , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
BioMed Central
2015
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4652565/ https://ncbi.nlm.nih.gov/pubmed/26576613 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-16-S11-S3 |
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