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Methods to select genetic and epigenetic factors based on linear associations
| Content Provider | Scilit |
|---|---|
| Author | Zhang, Hongmei |
| Copyright Year | 2020 |
| Description | In genetic and epigenetic studies, among a large number of candidate genes possibly associated with a health condition under study, it is desirable to identify important genes critical to disease risk. This type of effort is in the scope of variable selection problems. This Chapter introduces Frequentist and Bayesian approaches in variable selections, and demonstrates the methods using simulated data and DNA methylation data. Book Name: Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2015-0-79093-5&isbn=9780429155192&doi=10.1201/9780429155192-6&format=pdf |
| Ending Page | 123 |
| Page Count | 23 |
| Starting Page | 101 |
| DOI | 10.1201/9780429155192-6 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-05-14 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Analyzing High-dimensional Gene Expression and Dna Methylation Data with R Genetics Methylation Bayesian Candidate Frequentist Possibly Variable Selections Genetic and Epigenetic |
| Content Type | Text |
| Resource Type | Chapter |
