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An embedded method for gene identification problems involving unwanted data heterogeneity
BACKGROUND: Modern applications such as bioinformatics collecting data in various ways can easily result in heterogeneous data. Traditional variable selection methods assume samples are independent and identically distributed, which however is not suitable for these applications. Some existing stati...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805328/ https://www.ncbi.nlm.nih.gov/pubmed/31639059 http://dx.doi.org/10.1186/s40246-019-0228-0 |