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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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發表在:BMC Bioinformatics
Main Authors: Li, Jeffery, Ching, Travers, Huang, Sijia, Garmire, Lana X
格式: Artigo
語言:Inglês
出版: BioMed Central 2015
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在線閱讀: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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