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Using epigenomics data to predict gene expression in lung cancer
BACKGROUND: Epigenetic alterations are known to correlate with changes in gene expression among various diseases including cancers. However, quantitative models that accurately predict the up or down regulation of gene expression are currently lacking. METHODS: A new machine learning-based method of...
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| Publicado no: | BMC Bioinformatics |
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| 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/PMC4402699/ https://ncbi.nlm.nih.gov/pubmed/25861082 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-16-S5-S10 |
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