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Identification of cancer genomic markers via integrative sparse boosting

In high-throughput cancer genomic studies, markers identified from the analysis of single data sets often suffer a lack of reproducibility because of the small sample sizes. An ideal solution is to conduct large-scale prospective studies, which are extremely expensive and time consuming. A cost-effe...

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Detalhes bibliográficos
Main Authors: Huang, Yuan, Huang, Jian, Shia, Ben-Chang, Ma, Shuangge
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3577103/
https://ncbi.nlm.nih.gov/pubmed/22045909
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxr033
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