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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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Bibliografiska uppgifter
I publikationen:BMC Bioinformatics
Huvudupphovsmän: Li, Jeffery, Ching, Travers, Huang, Sijia, Garmire, Lana X
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2015
Ämnen:
Länkar: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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