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Subtype prediction in pediatric acute myeloid leukemia: classification using differential network rank conservation revisited
BACKGROUND: One of the most important application spectrums of transcriptomic data is cancer phenotype classification. Many characteristics of transcriptomic data, such as redundant features and technical artifacts, make over-fitting commonplace. Promising classification results often fail to genera...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4580220/ https://ncbi.nlm.nih.gov/pubmed/26399969 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0737-3 |
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