An embedded method for gene identification problems involving unwanted data heterogeneity
Abstract 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 existi...
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| Format: | Article |
| Language: | English |
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BMC
2019-10-01
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| Series: | Human Genomics |
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| Online Access: | http://link.springer.com/article/10.1186/s40246-019-0228-0 |