Ridle for sparse regression with mandatory covariates with application to the genetic assessment of histologic grades of breast cancer
Background: Many questions in statistical genomics can be formulated in terms of variable selection of candidate biological factors for modeling a trait or quantity of interest. Often, in these applications, additional covariates describing clinical, demographical or experimental effects must be inc...
| Main Authors: | , , |
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| Other Authors: | |
| Language: | en |
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BIOMED CENTRAL LTD
2017
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| Online Access: | http://hdl.handle.net/10150/622811 http://arizona.openrepository.com/arizona/handle/10150/622811 |